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ORCIDMichele Magno
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- affiliation: ETH Zürich, Switzerland
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2020 – today
- 2025
[j64]Nicolas Baumann, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno:
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction. IEEE Robotics Autom. Lett. 10(2): 1816-1823 (2025)- [j63]Onur Dikici, Edoardo Ghignone, Cheng Hu, Nicolas Baumann, Lei Xie, Andrea Carron, Michele Magno, Matteo Corno:
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute. IEEE Robotics Autom. Lett. 10(2): 1984-1991 (2025) - 2024
- [j62]Julian Moosmann
, Hanna Müller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno:
Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems. IEEE Access 12: 75093-75107 (2024) - [j61]Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno:
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 4:1-4:49 (2024) - [j60]Philipp Mayer, Michele Magno, Luca Benini:
Self-Sustaining Ultrawideband Positioning System for Event-Driven Indoor Localization. IEEE Internet Things J. 11(1): 1272-1284 (2024) - [j59]Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots. IEEE Internet Things J. 11(8): 13584-13607 (2024) - [j58]Konstantin Kalenberg, Hanna Müller, Tommaso Polonelli, Alberto Schiaffino, Vlad Niculescu, Cristian Cioflan, Michele Magno, Luca Benini:
Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs. IEEE Internet Things J. 11(12): 21372-21390 (2024) - [j57]Carl Friess, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Fully Onboard SLAM for Distributed Mapping With a Swarm of Nano-Drones. IEEE Internet Things J. 11(20): 32363-32380 (2024) - [j56]Steven Marty, Andrea Ronco, Federico Pantanella, Kanika S. Dheman, Michele Magno:
Frequency Matters: Comparative Analysis of Low-Power FMCW Radars for Vital Sign Monitoring. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j55]Sergei Vostrikov, Thorir Mar Ingolfsson, Soley Hafthorsdottir, Christoph Leitner, Michele Magno, Luca Benini, Andrea Cossettini:
A Muscle Pennation Angle Estimation Framework From Raw Ultrasound Data for Wearable Biomedical Instrumentation. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j54]Wei Huang, Xingyu Zheng, Xudong Ma, Haotong Qin, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno:
An empirical study of LLaMA3 quantization: from LLMs to MLLMs. Vis. Intell. 2(1): 36 (2024) - [c209]Pietro Bonazzi, Yawei Li, Sizhen Bian, Michele Magno:
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis. AICAS 2024: 517-521 - [c208]Yuke Cai, Davide Plozza, Steven Marty, Paul Joseph, Michele Magno:
Noise Analysis and Modeling of the PMD Flexx2 Depth Camera for Robotic Applications. COINS 2024: 1-6 - [c207]Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno:
Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware. CVPR Workshops 2024: 5684-5692 - [c206]Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno:
Robustness Evaluation of Localization Techniques for Autonomous Racing. DATE 2024: 1-2 - [c205]Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini:
Work in Progress: Linear Transformers for TinyML. DATE 2024: 1-2 - [c204]Kanika S. Dheman, Manuel Glahn, Michele Magno:
i-Flow: Design and evaluation of a wearable uroflowmeter with non-invasive low power bio-impedance sensing. EMBC 2024: 1-5 - [c203]Victor Luder, Sizhen Bian, Michele Magno:
CycloWatt: An Affordable, TinyML-Enhanced IoT Device Revolutionizing Cycling Power Metrics. I2MTC 2024: 1-6 - [c202]Jakub Mandula, Jonas Kühne, Luca Pascarella, Michele Magno:
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors. I2MTC 2024: 1-6 - [c201]Tommaso Polonelli, Vlad Niculescu, Thomas Burger, Michele Magno:
A -79 dBm μ-Watt Wake-Up Receiver for Energy Efficient ISM and LoRa Communication. I2MTC 2024: 1-6 - [c200]Nicolas Scharer, Tommaso Polonelli, Julien Deparday, Michele Magno:
Towards a non-Invasive Monitoring System for Wind Turbine Blades. I2MTC 2024: 1-6 - [c199]Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi:
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. ICML 2024 - [c198]Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno:
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention. ICML 2024 - [c197]Nicky Zimmerman, Hanna Müller, Michele Magno, Luca Benini:
Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Plans. ICRA 2024: 11913-11919 - [c196]Kanika S. Dheman, Marco Giordano, Cyriac Thomas, Philipp Schilk, Michele Magno:
i-CardiAx: Wearable IoT-Driven System for Early Sepsis Detection Through Long-Term Vital Sign Monitoring. IoTDI 2024: 97-109 - [c195]Andrea Ronco, Philipp Schilk, Michele Magno:
TinyssimoRadar: In-Ear Hand Gesture Recognition with Ultra-Low Power mmWave Radars. IoTDI 2024: 192-202 - [c194]Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas Kühne, Tobias Fischer, Yung-Hsu Yang, Marc Pollefeys, Michele Magno:
CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking. IROS 2024: 4926-4933 - [c193]Christian Vogt, Michael Jost, Michele Magno:
SwiftEagle: An Advanced Open-Source, Miniaturized FPGA UAS Platform with Dual DVS/Frame Camera for Cutting-Edge Low-Latency Autonomous Algorithms. IROS 2024: 8134-8140 - [c192]Federico Villani, Enea Masina, Thomas Burger, Michele Magno:
A 36nW Ultra-Wideband Wake-Up Receiver with -86dBm Sensitivity and Addressing Capabilities. ISCAS 2024: 1-5 - [c191]Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno:
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. ISWC 2024: 9-16 - [c190]Chiara Botrugno, Kanika S. Dheman, Pietro Bonazzi, Francesco Dell'Olio, Michele Magno:
AI-Based Multi-Wavelength PPG Device for Blood Pressure Monitoring. MeMeA 2024: 1-6 - [d2]Konstantin Kalenberg, Hanna Müller, Tommaso Polonelli, Alberto Schiaffino, Vlad Niculescu, Cristian Cioflan, Michele Magno, Luca Benini:
Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs. Zenodo, 2024
- [i71]Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno:
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey. CoRR abs/2401.06000 (2024) - [i70]Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno:
Robustness Evaluation of Localization Techniques for Autonomous Racing. CoRR abs/2401.07658 (2024) - [i69]Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi:
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. CoRR abs/2402.04291 (2024) - [i68]Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno:
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention. CoRR abs/2402.05445 (2024) - [i67]Victor Luder, Sizhen Bian, Michele Magno:
CycloWatt: An Affordable, TinyML-enhanced IoT Device Revolutionizing Cycling Power Metrics. CoRR abs/2403.07915 (2024) - [i66]Nicolas Baumann, Edoardo Ghignone, Jonas Kühne, Niklas Bastuck, Jonathan Becker, Nadine Imholz, Tobias Kränzlin, Tian Yi Lim, Michael Lötscher, Luca Schwarzenbach, Luca Tognoni, Christian Vogt, Andrea Carron, Michele Magno:
ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware. CoRR abs/2403.11784 (2024) - [i65]Jakub Mandula, Jonas Kühne, Luca Pascarella, Michele Magno:
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors. CoRR abs/2403.11875 (2024) - [i64]Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas Kühne, Tobias Fischer, Yung-Hsu Yang, Marc Pollefeys, Michele Magno:
CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking. CoRR abs/2403.15313 (2024) - [i63]Hanna Müller, Victor Javier Kartsch, Michele Magno, Luca Benini:
BatDeck: Advancing Nano-drone Navigation with Low-power Ultrasound-based Obstacle Avoidance. CoRR abs/2403.16696 (2024) - [i62]Wei Huang, Xudong Ma, Haotong Qin, Xingyu Zheng, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno:
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study. CoRR abs/2404.14047 (2024) - [i61]Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Xianglong Liu, Luca Benini, Michele Magno, Xiaojuan Qi:
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models. CoRR abs/2405.14917 (2024) - [i60]Lukas Schulthess, Philipp Mayer, Luca Benini, Michele Magno:
A Passive and Asynchronous Wake-up Receiver for Acoustic Underwater Communication. CoRR abs/2405.18000 (2024) - [i59]Lukas Schulthess, Fabrice Longchamp, Christian Vogt, Michele Magno:
A Lora-Based and Maintenance-Free Cattle Monitoring System for Alpine Pastures and Remote Locations. CoRR abs/2406.06245 (2024) - [i58]Lukas Schulthess, Tiago Salzmann, Christian Vogt, Michele Magno:
A LoRa-based Energy-efficient Sensing System for Urban Data Collection. CoRR abs/2406.06404 (2024) - [i57]Jonas Kühne, Michele Magno, Luca Benini:
Low Latency Visual Inertial Odometry with On-Sensor Accelerated Optical Flow for Resource-Constrained UAVs. CoRR abs/2406.13345 (2024) - [i56]Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Ultra-Lightweight Collaborative Mapping for Robot Swarms. CoRR abs/2407.03136 (2024) - [i55]Pixi Kang, Julian Moosmann, Sizhen Bian, Michele Magno:
On-Device Training Empowered Transfer Learning For Human Activity Recognition. CoRR abs/2407.03644 (2024) - [i54]Lukas Schulthess, Federico Villani, Philipp Mayer, Michele Magno:
RF Power Transmission for Self-sustaining Miniaturized IoT Devices. CoRR abs/2407.21455 (2024) - [i53]Tommaso Polonelli, Lukas Schulthess, Philipp Mayer, Michele Magno, Luca Benini:
H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing. CoRR abs/2407.21501 (2024) - [i52]Andrea Ronco, Lukas Schulthess, David Zehnder, Michele Magno:
Machine Learning In-Sensors: Computation-enabled Intelligent Sensors For Next Generation of IoT. CoRR abs/2407.21508 (2024) - [i51]Marco Giordano, Kanika S. Dheman, Michele Magno:
SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learning. CoRR abs/2408.08316 (2024) - [i50]Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno:
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. CoRR abs/2409.00083 (2024) - [i49]Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu:
A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms. CoRR abs/2409.16694 (2024) - [i48]Nicolas Baumann, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno:
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction. CoRR abs/2410.04868 (2024) - [i47]Liam Boyle, Julian Moosmann, Nicolas Baumann, Seonyeong Heo, Michele Magno:
DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units. CoRR abs/2410.16769 (2024) - [i46]Yihua Shao, Siyu Liang, Xiaolin Lin, Zijian Ling, Zixian Zhu, Minxi Yan, Haiyang Liu, Siyu Chen, Ziyang Yan, Yilan Meng, Chenyu Zhang, Haotong Qin, Michele Magno, Yang Yang, Zhen Lei, Yan Wang, Jingcai Guo, Ling Shao, Hao Tang:
GWQ: Gradient-Aware Weight Quantization for Large Language Models. CoRR abs/2411.00850 (2024) - [i45]Onur Dikici, Edoardo Ghignone, Cheng Hu, Nicolas Baumann, Lei Xie, Andrea Carron, Michele Magno, Matteo Corno:
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute. CoRR abs/2411.17508 (2024) - [i44]Hanna Müller, Victor Javier Kartsch, Michele Magno, Luca Benini:
BatDeck - Ultra Low-power Ultrasonic Ego-velocity Estimation and Obstacle Avoidance on Nano-drones. CoRR abs/2412.10048 (2024) - [i43]Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno:
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models. CoRR abs/2412.11549 (2024) - [i42]Davide Plozza, Steven Marty, Cyril Scherrer, Simon Schwartz, Stefan Zihlmann, Michele Magno:
Autonomous Navigation in Dynamic Human Environments with an Embedded 2D LiDAR-based Person Tracker. CoRR abs/2412.15000 (2024) - [i41]Yuke Cai, Davide Plozza, Steven Marty, Paul Joseph, Michele Magno:
Noise Analysis and Modeling of the PMD Flexx2 Depth Camera for Robotic Applications. CoRR abs/2412.15040 (2024) - 2023
- [j53]Tommaso Polonelli, Amirhossein Moallemi, Weikang Kong, Hanna Müller, Julien Deparday, Michele Magno, Luca Benini:
A Self-Sustainable and Micro-Second Time Synchronized Multi-Node Wireless System for Aerodynamic Monitoring on Wind Turbines. IEEE Access 11: 119506-119522 (2023) - [j52]Silvano Cortesi, Christian Vogt, Michele Magno:
Comparison between an RSSI- and an MCPD-Based BLE Indoor Localization System. Comput. 12(3): 59 (2023) - [j51]Edoardo Ghignone, Nicolas Baumann, Michele Magno:
TC-Driver: A Trajectory Conditioned Reinforcement Learning Approach to Zero-Shot Autonomous Racing. Field Robotics 3(1): 637-651 (2023) - [j50]Tommaso Polonelli, Julien Deparday, Imad Abdallah, Sarah Barber, Eleni N. Chatzi, Michele Magno:
Instrumentation and Measurement Systems: Aerosense: A Wireless, Non-Intrusive, Flexible, and MEMS-Based Aerodynamic and Acoustic Measurement System for Operating Wind Turbines. IEEE Instrum. Meas. Mag. 26(4): 12-18 (2023) - [j49]Vlad Niculescu, Daniele Palossi, Michele Magno, Luca Benini:
Energy-Efficient, Precise UWB-Based 3-D Localization of Sensor Nodes With a Nano-UAV. IEEE Internet Things J. 10(7): 5760-5777 (2023) - [j48]Pascal Bleuler, Tommaso Polonelli, Yu Xiao, Benjamin Stadler, Lorenz Gallina, Hannah Kirchner, Michele Magno, Christian M. Franck:
A Unified Sensor Platform for Investigating Corona Effects on Overhead Lines. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j47]Tobias Margiani, Silvano Cortesi, Milena Keller, Christian Vogt, Tommaso Polonelli, Michele Magno:
Angle of Arrival and Centimeter Distance Estimation on a Smart UWB Sensor Node. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j46]Denis Mikhaylov, Carla Amatetti, Tommaso Polonelli, Enea Masina, Riccardo Campana, Kai Berszin, Charles Moatti, Davide Amato, Alessandro Vanelli-Coralli, Michele Magno, Luca Benini:
Toward the Future Generation of Railway Localization Exploiting RTK and GNSS. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j45]Luzian Lebovitz, Lukas Cavigelli, Michele Magno, Lorenz K. Müller:
Efficient Inference With Model Cascades. Trans. Mach. Learn. Res. 2023 (2023) - [j44]Hanna Müller, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Robust and Efficient Depth-Based Obstacle Avoidance for Autonomous Miniaturized UAVs. IEEE Trans. Robotics 39(6): 4935-4951 (2023) - [c189]Victoria Abou Khalil, Andrew Vargo, Rwitajit Majumdar, Michele Magno, Manu Kapur:
Considerations when automating the assessment and guidance of Project Work (invited paper). AAGPW@AIED 2023: 1-6 - [c188]Amélie Gruel, Alfio Di Mauro, Robin Hunziker, Luca Benini, Jean Martinet, Michele Magno:
Embedded neuromorphic attention model leveraging a novel low-power heterogeneous platform. AICAS 2023: 1-5 - [c187]Julian Moosmann, Marco Giordano, Christian Vogt, Michele Magno:
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers. AICAS 2023: 1-5 - [c186]Thomas Rüegg, Marco Giordano, Michele Magno:
KP2Dtiny: Quantized Neural Keypoint Detection and Description on the Edge. AICAS 2023: 1-5 - [c185]Victoria Abou Khalil, Andrew Vargo, Rwitajit Majumdar, Michele Magno, Manu Kapur:
Automated Assessment and Guidance of Project Work. AIED (Posters/Late Breaking Results/...) 2023: 69-73 - [c184]Marco Giordano, Kirill Keller, Francesco Greco, Luca Benini, Michele Magno, Christoph Leitner:
Towards a Novel Ultrasound System Based on Low-Frequency Feature Extraction From a Fully-Printed Flexible Transducer. BioCAS 2023: 1-5 - [c183]Lukas Schulthess, Thorir Mar Ingolfsson, Marc Nölke, Michele Magno, Luca Benini, Christoph Leitner:
Skilog: A Smart Sensor System for Performance Analysis and Biofeedback in Ski Jumping. BioCAS 2023: 1-5 - [c182]Hanna Müller, Nicky Zimmerman, Tommaso Polonelli, Michele Magno, Jens Behley, Cyrill Stachniss, Luca Benini:
Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs. DATE 2023: 1-6 - [c181]Lukas Schulthess, Fabrice Longchamp, Christian Vogt, Michele Magno:
A Lora-Based and Maintenance-Free Cattle Monitoring System for Alpine Pastures and Remote Locations. ENSsys@SenSys 2023: 44-50 - [c180]Marco Giordano, Silvano Cortesi, Prodromos-Vasileios Mekikis, Michele Crabolu, Giovanni Bellusci, Michele Magno:
Energy-Aware Adaptive Sampling for Self-Sustainability in Resource-Constrained IoT Devices. ENSsys@SenSys 2023: 65-71 - [c179]Seonyeong Heo, Nicolas Baumann, Carla Margelisch, Marco Giordano, Michele Magno:
Low-cost Smart Raven Deterrent System with Tiny Machine Learning for Smart Agriculture. I2MTC 2023: 1-6 - [c178]Qingyan Ren, Yanjing Sun, Michele Magno:
Coverage Guaranteed Cooperative MIMO Formation for Underwater MI-Assisted Acoustic WSNs. ICC 2023: 3920-3925 - [c177]Xinchen Gao, Yawei Li, Wen Li, Lixin Duan, Luc Van Gool, Luca Benini, Michele Magno:
Learning continuous piecewise non-linear activation functions for deep neural networks. ICME 2023: 1835-1840 - [c176]Jonathan Becker, Nadine Imholz, Luca Schwarzenbach, Edoardo Ghignone, Nicolas Baumann, Michele Magno:
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing. ICRA 2023: 5276-5283 - [c175]Pietro Bonazzi, Thomas Rüegg, Sizhen Bian, Yawei Li, Michele Magno:
TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation. SENSORS 2023: 1-4 - [c174]Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno:
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications. SENSORS 2023: 1-4 - [c173]Kanika S. Dheman, Manuel Glahn, Michele Magno:
Towards Enhanced Bladder Volume Measurement with Context-Aware Bio-Impedance Sensor Fusion. SENSORS 2023: 1-4 - [c172]Jonah Imfeld, Silvano Cortesi, Philipp Mayer, Michele Magno:
Evaluation of a Non-Coherent Ultra-Wideband Transceiver for Micropower Sensor Nodes. SENSORS 2023: 1-4 - [c171]Michele Magno:
Ultra-Wideband Technology: Unlocking the Potential of Low Power IoT with Precise Localization and Energy-Efficient Wake-Up Radio. SENSORS 2023: 1 - [c170]Julian Moosmann, Jakub Mandula, Philipp Mayer, Luca Benini, Michele Magno:
Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images. SENSORS 2023: 1-4 - [c169]Amélie Gruel, Jean Martinet, Michele Magno:
Simultaneous neuromorphic selection of multiple salient objects for event vision. IJCNN 2023: 1-8 - [c168]Philipp Schilk, Niccolò Polvani, Andrea Ronco, Milos Cernak, Michele Magno:
In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms. IoTDI 2023: 1-12 - [c167]Rabea Rogge, Lukas Schulthess, Christian Vogt, Michele Magno:
Poster Abstract: A Human Body Power Transfer System to Enable Battery-Less Sensor Nodes. IoTDI 2023: 456-457 - [c166]Steven Marty, Kanika S. Dheman, Michele Magno:
Poster Abstract: Contactless Vital Sign Monitoring using Low-Power FMCW Radar. IoTDI 2023: 461-463 - [c165]Lukas Schulthess, Philipp Mayer, Michele Magno:
Poster Abstract: Battery-free and Passive Wake-up Receiver for Underwater Communication. IoTDI 2023: 479-480 - [c164]Lukas Schulthess, Tiago Salzmann, Christian Vogt, Michele Magno:
Poster Abstract: A LoRa-based Energy-Efficient Sensing System for Urban Computing. IoTDI 2023: 481-482 - [c163]Philipp Schilk, Niccolò Polvani, Andrea Ronco, Milos Cernak, Michele Magno:
Demo Abstract: In-Ear-Voice - Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms. IoTDI 2023: 488-490 - [c162]Dominik Schindler, Vlad Niculescu, Tommaso Polonelli, Daniele Palossi, Luca Benini, Michele Magno:
A Relative Infrastructure-less Localization Algorithm for Decentralized and Autonomous Swarm Formation. IROS 2023: 5288-5295 - [c161]Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Michele Magno, Luca Benini, Luc Van Gool:
LocalViT: Analyzing Locality in Vision Transformers. IROS 2023: 9598-9605 - [c160]Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno:
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications. ISCAS 2023: 1-5 - [c159]Lukas Schulthess, Steven Marty, Matilde Dirodi, Mariana D. Rocha, Linus Rüttimann, Richard H. R. Hahnloser, Michele Magno:
TinyBird-ML: An ultra-low Power Smart Sensor Node for Bird Vocalization Analysis and Syllable Classification. ISCAS 2023: 1-5 - [c158]Sizhen Bian, Michele Magno:
Evaluating Spiking Neural Network on Neuromorphic Platform For Human Activity Recognition. ISWC 2023: 82-86 - [c157]Tommaso Polonelli, Casimir Feldmann, Vlad Niculescu, Hanna Müller, Michele Magno, Luca Benini:
Towards Robust and Efficient On-board Mapping for Autonomous Miniaturized UAVs. IWASI 2023: 9-14 - [c156]Andrea Ronco, Nicolas Baumann, Marco Giordano, Michele Magno:
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar. IWASI 2023: 21-26 - [c155]Phillip Trummer, Tommaso Polonelli, Julien Deparday, Imad Abdallah, Michele Magno:
Blade Position and Motion Estimation on the Surface of a Rotating Wind Turbine Through a Single MEMS IMU. IWASI 2023: 40-45 - [c154]Philipp Mayer, Rabea Rogge, Andrin Caviezel, Jessica Munch, Adrian Ringenbach, Michele Magno, Luca Benini:
Design and Evaluation of a LoRa Controlled Rugged Multisensor Unit for Induced Rockfall Experiments. IWASI 2023: 52-57 - [c153]Lukas Schulthess, Tiago Salzmann, Christian Vogt, Michele Magno:
A LoRa-based Energy-efficient Sensing System for Urban Data Collection. IWASI 2023: 69-74 - [c152]Kanika S. Dheman, Alkinoos Sariglou, Michele Magno:
Towards Wearable Sweat Sensing for Glucose and Lactate: Sensors Characterisation. IWASI 2023: 121-126 - [c151]Jonas Kühne, Michele Magno, Luca Benini:
A Fast and Accurate Optical Flow Camera for Resource-Constrained Edge Applications. IWASI 2023: 143-148 - [c150]Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno:
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras. IWASI 2023: 287-292 - [c149]Carla Tettamanti, Marco Giordano, Julia Altheimer, Lukas Linhart, Michele Magno:
Towards Model Development for Sensor-Based Activity Recognition at the Construction Site. IWASI 2023: 305-310 - [c148]Steven Marty, Federico Pantanella, Andrea Ronco, Kanika S. Dheman, Michele Magno:
Investigation of mmWave Radar Technology For Non-contact Vital Sign Monitoring. MeMeA 2023: 1-6 - [c147]Sizhen Bian, Alexander Rupp, Michele Magno:
Fully Automatic Gym Exercises Recording: An IoT Solution. MetroInd4.0&IoT 2023: 310-314 - [c146]Sizhen Bian, Bo Zhou, Paul Lukowicz, Mengxi Liu, Michele Magno, Kexuan Guo:
3D Hand Tracking with Induced Magnetic Field. PerCom Workshops 2023: 589-594 - [c145]Carl Brander, Cristian Cioflan, Vlad Niculescu, Hanna Müller, Tommaso Polonelli, Michele Magno, Luca Benini:
Improving Data-Scarce Image Classification Through Multimodal Synthetic Data Pretraining. SAS 2023: 1-6 - [c144]Luca Pascarella, Michele Magno:
Grayscale and Event-Based Sensor Fusion for Robust Steering Prediction for Self-Driving Cars. SAS 2023: 1-6 - [c143]Matthias Steiner, Nicolas Baumann, Luzian Lebovitz, Michele Magno:
A Robust and Real-Time Hyper-Spectral Sensor-Fusion Model for Concrete Crack Segmentation. SAS 2023: 1-6 - [c142]Marco Giordano, Silvano Cortesi, Michele Crabolu, Lavinia Pedrollo, Giovanni Bellusci, Tommaso Bendinelli, Engin Türetken, L. Andrea Dunbar, Michele Magno:
Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MINIROCKET on Resource-Constrained Devices. WF-IoT 2023: 1-8 - [c141]Michael Lötscher, Nicolas Baumann, Edoardo Ghignone, Andrea Ronco, Michele Magno:
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study. WF-IoT 2023: 1-6 - [c140]Andrea Mattei, Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini:
Securing Tiny Transformer-Based Computer Vision Models: Evaluating Real-World Patch Attacks. WF-IoT 2023: 1-7 - [c139]Denis Mikhaylov, Fu Zheng, Philipp Mayer, Christian Vogt, Tommaso Polonelli, Michele Magno:
Advancing Freight Train Integrity Monitoring for Next-Generation Railway Signaling Using UWB Ranging. WF-IoT 2023: 1-6 - [c138]Silvano Cortesi, Christian Vogt, Elio Reinschmidt, Michele Magno:
Latency and Power Consumption in 2.4GHz IoT Wireless Mesh Nodes: An Experimental Evaluation of Bluetooth Mesh and Wirepas Mesh. WiMob 2023: 200-205 - [d1]Denis Mikhaylov, Carla Amatetti, Tommaso Polonelli, Enea Masina, Riccardo Campana, Kai Berszin, Davide Amato, Alessandro Vanelli-Coralli, Michele Magno, Luca Benini:
Towards the Future Generation of Railway Localization Exploiting RTK and GNSS. Zenodo, 2023 - [i40]Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno:
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications. CoRR abs/2302.07957 (2023) - [i39]Jonas Kühne, Michele Magno, Luca Benini:
Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation. CoRR abs/2305.13055 (2023) - [i38]Sizhen Bian, Alexander Rupp, Michele Magno:
Fully Automatic Gym Exercises Recording: An IoT Solution. CoRR abs/2305.17594 (2023) - [i37]Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno:
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras. CoRR abs/2305.18371 (2023) - [i36]Julian Moosmann, Marco Giordano, Christian Vogt, Michele Magno:
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers. CoRR abs/2306.00001 (2023) - [i35]Julian Moosmann, Hanna Müller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno:
Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems. CoRR abs/2307.05999 (2023) - [i34]Pietro Bonazzi, Thomas Rüegg, Sizhen Bian, Yawei Li, Michele Magno:
TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation. CoRR abs/2307.07813 (2023) - [i33]Sizhen Bian, Michele Magno:
Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity Recognition. CoRR abs/2308.00787 (2023) - [i32]Andrea Ronco, Nicolas Baumann, Marco Giordano, Michele Magno:
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar. CoRR abs/2309.01647 (2023) - [i31]Philipp Schilk, Niccolò Polvani, Andrea Ronco, Milos Cernak, Michele Magno:
In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms. CoRR abs/2309.02393 (2023) - [i30]Carl Friess, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Fully Onboard SLAM for Distributed Mapping with a Swarm of Nano-Drones. CoRR abs/2309.03678 (2023) - [i29]Michael Loetscher, Nicolas Baumann, Edoardo Ghignone, Andrea Ronco, Michele Magno:
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study. CoRR abs/2309.10504 (2023) - [i28]Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots. CoRR abs/2309.12008 (2023) - [i27]Lukas Schulthess, Thorir Mar Ingolfsson, Marc Nölke, Michele Magno, Luca Benini, Christoph Leitner:
Skilog: A Smart Sensor System for Performance Analysis and Biofeedback in Ski Jumping. CoRR abs/2309.14455 (2023) - [i26]Nicky Zimmerman, Hanna Müller, Michele Magno, Luca Benini:
Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Plans. CoRR abs/2310.12536 (2023) - [i25]Silvano Cortesi, Christian Vogt, Elio Reinschmidt, Michele Magno:
Latency and Power Consumption in 2.4 GHz IoT Wireless Mesh Nodes: An Experimental Evaluation of Bluetooth Mesh and Wirepas Mesh. CoRR abs/2310.14681 (2023) - [i24]Silvano Cortesi, Marc Dreher, Michele Magno:
Design and Implementation of an RSSI-Based Bluetooth Low Energy Indoor Localization System. CoRR abs/2310.14704 (2023) - [i23]Marco Giordano, Silvano Cortesi, Prodromos-Vasileios Mekikis, Michele Crabolu, Giovanni Bellusci, Michele Magno:
Energy-Aware Adaptive Sampling for Self-Sustainability in Resource-Constrained IoT Devices. CoRR abs/2310.20331 (2023) - [i22]Julian Moosmann, Pietro Bonazzi, Yawei Li, Sizhen Bian, Philipp Mayer, Luca Benini, Michele Magno:
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO. CoRR abs/2311.01057 (2023) - [i21]Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno:
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications. CoRR abs/2311.07163 (2023) - [i20]Jonah Imfeld, Silvano Cortesi, Philipp Mayer, Michele Magno:
Evaluation of a Non-Coherent Ultra-Wideband Transceiver for Micropower Sensor Nodes. CoRR abs/2311.14523 (2023) - [i19]Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno:
A Low-Power Neuromorphic Approach for Efficient Eye-Tracking. CoRR abs/2312.00425 (2023) - [i18]Pietro Bonazzi, Julian Moosmann, Yawei Li, Sizhen Bian, Michele Magno:
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis. CoRR abs/2312.09854 (2023) - 2022
- [j43]Laura Flueratoru, Silvan Wehrli, Michele Magno, Elena Simona Lohan, Dragos Niculescu:
High-Accuracy Ranging and Localization With Ultrawideband Communications for Energy-Constrained Devices. IEEE Internet Things J. 9(10): 7463-7480 (2022) - [j42]Vlad Niculescu, Daniele Palossi, Michele Magno, Luca Benini:
Fly, Wake-up, Find: UAV-based Energy-efficient Localization for Distributed Sensor Nodes. Sustain. Comput. Informatics Syst. 34: 100666 (2022) - [j41]Tommaso Polonelli, Michele Magno, Vlad Niculescu, Luca Benini, David E. Boyle:
An open platform for efficient drone-to-sensor wireless ranging and data harvesting. Sustain. Comput. Informatics Syst. 35: 100734 (2022) - [j40]Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini:
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 69(5): 2002-2012 (2022) - [j39]Marco Giordano, Nicolas Baumann, Michele Crabolu, Raphael Fischer, Giovanni Bellusci, Michele Magno:
Design and Performance Evaluation of an Ultralow-Power Smart IoT Device With Embedded TinyML for Asset Activity Monitoring. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j38]Xiaying Wang, Fabian Geiger, Vlad Niculescu, Michele Magno, Luca Benini:
Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [c137]Marco Giordano, Luigi Piccinelli, Michele Magno:
Survey and Comparison of Milliwatts Micro controllers for Tiny Machine Learning at the Edge. AICAS 2022: 94-97 - [c136]Stephan Boner, Christian Vogt, Michele Magno:
Tiny TCN model for Gesture Recognition With Multi-point Low power ToF-Sensors. AICAS 2022: 356-359 - [c135]Amélie Gruel, Antonio Vitale, Jean Martinet, Michele Magno:
Neuromorphic Event-Based Spatio-temporal Attention using Adaptive Mechanisms. AICAS 2022: 379-382 - [c134]Davide Plozza, Marco Giordano, Michele Magno:
Real-Time Low Power Audio Distortion Circuit Modeling: a TinyML Deep Learning Approach. AICAS 2022: 415-418 - [c133]Andrea Bentivogli, Tommaso Polonelli, Michele Magno, Guido Comai:
Enabling Predictive Maintenance on Electric Motors Through a Self-sustainable Wireless Sensor Node. ApplePies 2022: 3-8 - [c132]Andrea Cossettini, Konstantin Taranov, Christian Vogt, Michele Magno, Torsten Hoefler, Luca Benini:
A RDMA Interface for Ultra-Fast Ultrasound Data-Streaming over an Optical Link. DATE 2022: 80-83 - [c131]Marco Giordano, Gamze Islamoglu, Viviane Potocnik, Christian Vogt, Michele Magno:
Survey, Analysis and Comparison of Radar Technologies for Embedded Vital Sign Monitoring. EMBC 2022: 854-860 - [c130]Sizhen Bian, Xiaying Wang, Tommaso Polonelli, Michele Magno:
Exploring Automatic Gym Workouts Recognition Locally on Wearable Resource-Constrained Devices. IGSC 2022: 1-6 - [c129]Vlad Niculescu, Hanna Müller, Iman Ostovar, Tommaso Polonelli, Michele Magno, Luca Benini:
Towards a Multi-Pixel Time-of-Flight Indoor Navigation System for Nano-Drone Applications. I2MTC 2022: 1-6 - [c128]Seonyeong Heo, Philipp Mayer, Michele Magno:
Predictive Energy-Aware Adaptive Sampling with Deep Reinforcement Learning. ICECS 2022 2022: 1-4 - [c127]Lukas Schulthess, Federico Villani, Philipp Mayer, Michele Magno:
RF Power Transmission for Self-sustaining Miniaturized IoT Devices. ICECS 2022 2022: 1-4 - [c126]Elio Reinschmidt, Christian Vogt, Michele Magno:
Realtime Hand-Gesture Recognition Based on Novel Charge Variation Sensor and IMU. IEEE SENSORS 2022: 1-4 - [c125]Andrea Ronco, Lukas Schulthess, David Zehnder, Michele Magno:
Machine Learning In-Sensors: Computation-enabled Intelligent Sensors For Next Generation of IoT. IEEE SENSORS 2022: 1-4 - [c124]Tiago Salzmann, Michele Magno:
A Low Power Infrared Sensor for Direction, Speed, Distance Finding for Contextual Intelligence. IEEE SENSORS 2022: 1-4 - [c123]Iman Ostovar, Vlad Niculescu, Hanna Müller, Tommaso Polonelli, Michele Magno, Luca Benini:
Demo Abstract: Towards Reliable Obstacle Avoidance for Nano-UAVs. IPSN 2022: 501-502 - [c122]Jonas Kühne, Michele Magno, Luca Benini:
Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation. ISCAS 2022: 301-305 - [c121]Carla Amatetti, Tommaso Polonelli, Enea Masina, Charles Moatti, Denis Mikhaylov, Davide Amato, Alessandro Vanelli-Coralli, Michele Magno, Luca Benini:
Towards the Future Generation of Railway Localization and Signaling Exploiting sub-meter RTK GNSS. SAS 2022: 1-6 - [c120]Pengwei Du, Tommaso Polonelli, Michele Magno, Zhiyuan Cheng:
Towards lightweight deep neural network for smart agriculture on embedded systems. SAS 2022: 1-6 - [c119]Soley Hafthorsdottir, Sergei Vostrikov, Andrea Cossettini, Michael Rieder, Christoph Leitner, Michele Magno, Luca Benini:
Automatic Extraction of Muscle Fascicle Pennation Angle from Raw Ultrasound Data. SAS 2022: 1-5 - [c118]Tommaso Polonelli, Andrea Bentivogli, Guido Comai, Michele Magno:
Self-sustainable IoT Wireless Sensor Node for Predictive Maintenance on Electric Motors. SAS 2022: 1-6 - [c117]Tommaso Polonelli, Simon Schläpfer, Michele Magno:
Performance Comparison between Decawave DW1000 and DW3000 in low-power double side ranging applications. SAS 2022: 1-6 - [c116]Philipp Schilk, Kanika S. Dheman, Michele Magno:
VitalPod: A Low Power In-Ear Vital Parameter Monitoring System. WiMob 2022: 94-99 - [c115]Kanika S. Dheman, David Werder, Michele Magno:
Cardiac monitoring with novel low power sensors measuring upper thoracic electrostatic charge variation for long lasting wearable devices. WiMob 2022: 154-159 - [c114]Moritz Scherer, Fabian Sidler, Michael Rogenmoser, Michele Magno, Luca Benini:
WideVision: A Low-Power, Multi-Protocol Wireless Vision Platform for Distributed Surveillance. WiMob 2022: 394-399 - [i17]Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini:
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. CoRR abs/2201.03386 (2022) - [i16]Xiaying Wang, Fabian Geiger, Vlad Niculescu, Michele Magno, Luca Benini:
Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications. CoRR abs/2203.15069 (2022) - [i15]Edoardo Ghignone, Nicolas Baumann, Mike Boss, Michele Magno:
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing - A Reinforcement Learning Approach. CoRR abs/2205.09370 (2022) - [i14]Tommaso Polonelli, Hanna Müller, Weikang Kong, Raphael Fischer, Luca Benini, Michele Magno:
Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines. CoRR abs/2205.11902 (2022) - [i13]Hanna Müller, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Robust and Efficient Depth-based Obstacle Avoidance for Autonomous Miniaturized UAVs. CoRR abs/2208.12624 (2022) - [i12]Jonathan Becker, Nadine Imholz, Luca Schwarzenbach, Edoardo Ghignone, Nicolas Baumann, Michele Magno:
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing. CoRR abs/2209.04346 (2022) - [i11]Philipp Mayer, Michele Magno, Luca Benini:
Self-sustaining Ultra-wideband Positioning System for Event-driven Indoor Localization. CoRR abs/2212.04896 (2022) - 2021
- [j37]Moritz Scherer, Michele Magno, Jonas Erb, Philipp Mayer, Manuel Eggimann, Luca Benini:
TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition With Short Range Radars. IEEE Internet Things J. 8(13): 10336-10346 (2021) - [j36]Nour El Hoda Djidi, Matthieu Gautier, Antoine Courtay, Olivier Berder, Michele Magno:
How Can Wake-up Radio Reduce LoRa Downlink Latency for Energy Harvesting Sensor Nodes? Sensors 21(3): 733 (2021) - [j35]Ye Xu, Sebastian Bader, Michele Magno, Philipp Mayer, Bengt Oelmann:
System Implementation Trade-Offs for Low-Speed Rotational Variable Reluctance Energy Harvesters. Sensors 21(18): 6317 (2021) - [j34]Kanika S. Dheman, Philipp Mayer, Manuel Eggimann, Simone Schuerle, Michele Magno:
ImpediSense: A long lasting wireless wearable bio-impedance sensor node. Sustain. Comput. Informatics Syst. 30: 100556 (2021) - [j33]Philipp Mayer, Michele Magno, Luca Benini:
Energy-Positive Activity Recognition - From Kinetic Energy Harvesting to Smart Self-Sustainable Wearable Devices. IEEE Trans. Biomed. Circuits Syst. 15(5): 926-937 (2021) - [j32]Philipp Mayer, Michele Magno, Armin Berger, Luca Benini:
RTK-LoRa: High-Precision, Long-Range, and Energy-Efficient Localization for Mobile IoT Devices. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c113]Alfio Di Mauro, Moritz Scherer, Jordi Fornt Mas, Basile Bougenot, Michele Magno, Luca Benini:
FlyDVS: An Event-Driven Wireless Ultra-Low Power Visual Sensor Node. DATE 2021: 1851-1854 - [c112]Moritz Scherer, Philipp Mayer, Alfio Di Mauro, Michele Magno, Luca Benini:
Towards Always-on Event-based Cameras for Long-lasting Battery-operated Smart Sensor Nodes. I2MTC 2021: 1-6 - [c111]Raphael Fischer, Hanna Müller, Tommaso Polonelli, Luca Benini, Michele Magno:
WindNode: A Long-Lasting And Long-Range Bluetooth Wireless Sensor Node for Pressure and Acoustic Monitoring on Wind Turbines. ICPS 2021: 393-399 - [c110]Tommaso Polonelli, Lukas Schulthess, Philipp Mayer, Michele Magno, Luca Benini:
H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing. ISCAS 2021: 1-5 - [c109]Federico Villani, Philipp Mayer, Michele Magno:
RF Power Transmission: Energy Harvesting for Self-Sustaining Miniaturized Sensor Nodes. SenSys 2021: 592-593 - [c108]Marco Giordano, Michele Magno:
A Battery-Free Long-Range Wireless Smart Camera for Face Recognition. SenSys 2021: 594-595 - [c107]Silvano Cortesi, Marc Dreher, Michele Magno:
Design and Implementation of an RSSI-Based Bluetooth Low Energy Indoor Localization System. WiMob 2021: 163-168 - [c106]Tommaso Polonelli, Federico Villani, Michele Magno:
Ultra-Low Power Wake-Up Receiver for Location Aware Objects Operating with UWB. WiMob 2021: 369-376 - [i10]Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Michele Magno, Elisabetta Farella, Luca Benini:
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices. CoRR abs/2101.04446 (2021) - [i9]Laura Flueratoru, Silvan Wehrli, Michele Magno, Elena Simona Lohan, Dragos Niculescu:
High-Accuracy Ranging and Localization with Ultra-Wideband Communications for Energy-Constrained Devices. CoRR abs/2104.11042 (2021) - [i8]Xiaying Wang, Fabian Geiger, Vlad Niculescu, Michele Magno, Luca Benini:
SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic Applications. CoRR abs/2107.14598 (2021) - 2020
- [j31]Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini:
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things. IEEE Internet Things J. 7(5): 4403-4417 (2020) - [j30]Philipp Mayer, Michele Magno, Luca Benini:
A2Event: A Micro-Watt Programmable Frequency-Time Detector for Always-On Energy-Neutral Sensing. Sustain. Comput. Informatics Syst. 25: 100368 (2020) - [j29]Kanika S. Dheman, Philipp Mayer, Michele Magno, Simone Schuerle:
Wireless, Artefact Aware Impedance Sensor Node for Continuous Bio-Impedance Monitoring. IEEE Trans. Biomed. Circuits Syst. 14(5): 1122-1134 (2020) - [j28]Massimo Ballerini, Tommaso Polonelli, Davide Brunelli, Michele Magno, Luca Benini:
NB-IoT Versus LoRaWAN: An Experimental Evaluation for Industrial Applications. IEEE Trans. Ind. Informatics 16(12): 7802-7811 (2020) - [j27]Nicolas Baumann, Michael Ganz, Michele Magno:
Piepser 2.0: A Self-Sustaining Smartwatch to Maximize the Paragliders Flytime. IEEE Trans. Instrum. Meas. 69(4): 1445-1454 (2020) - [c105]Markus Reichmuth, Simone Schürle, Michele Magno:
A Non-invasive Wearable Bioimpedance System to Wirelessly Monitor Bladder Filling. DATE 2020: 338-341 - [c104]Michele Magno, Xiaying Wang, Manuel Eggimann, Lukas Cavigelli, Luca Benini:
InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting. DATE 2020: 342-345 - [c103]Nour El Hoda Djidi, Antoine Courtay, Matthieu Gautier, Olivier Berder, Michele Magno:
Opportunistic Cluster Heads for Heterogeneous Networks Combining LoRa and Wake-up Radio. EWSN 2020: 200-205 - [c102]Matteo D'Addato, Alessio Antolini, Francesco Renzini, Alessia Maria Elgani, Luca Perilli, Eleonora Franchi Scarselli, Antonio Gnudi, Michele Magno, Roberto Canegallo:
Nanowatt Clock and Data Recovery for Ultra-Low Power Wake-Up Based Receivers. EWSN 2020: 224-229 - [c101]Laura Flueratoru, Silvan Wehrli, Michele Magno, Dragos Niculescu:
On the Energy Consumption and Ranging Accuracy of Ultra-Wideband Physical Interfaces. GLOBECOM 2020: 1-7 - [c100]Philipp Mayer, Michele Magno, Luca Benini:
A Low Power and Smart Power Unit for Kinetic Self-Sustainable Wearable Devices. ICECS 2020: 1-4 - [c99]Vlad Niculescu, Michele Magno, Daniele Palossi, Luca Benini:
An Energy-efficient Localization System for Imprecisely Positioned Sensor Nodes with Flying UAVs. INDIN 2020: 188-193 - [c98]Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Elisabetta Farella, Michele Magno, Luca Benini:
Sound event detection with binary neural networks on tightly power-constrained IoT devices. ISLPED 2020: 19-24 - [c97]Xiaying Wang, Michael Hersche, Batuhan Tömekce, Burak Kaya, Michele Magno, Luca Benini:
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing. MeMeA 2020: 1-6 - [c96]Marco Giordano, Philipp Mayer, Michele Magno:
A Battery-Free Long-Range Wireless Smart Camera for Face Detection. ENSsys@SenSys 2020: 29-35 - [i7]Xiaying Wang, Michael Hersche, Batuhan Tömekce, Burak Kaya, Michele Magno, Luca Benini:
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing. CoRR abs/2004.00077 (2020) - [i6]Moritz Scherer, Michele Magno, Jonas Erb, Philipp Mayer, Manuel Eggimann, Luca Benini:
TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition with Short Range Radars. CoRR abs/2006.16281 (2020)
2010 – 2019
- 2019
- [j26]Michele Magno, Giovanni A. Salvatore, Petar Jokic, Luca Benini:
Self-Sustainable Smart Ring for Long-Term Monitoring of Blood Oxygenation. IEEE Access 7: 115400-115408 (2019) - [j25]Michele Magno, Lukas Sigrist, Andres Gomez, Lukas Cavigelli, Antonio Libri, Emanuel M. Popovici, Luca Benini:
SmarTEG: An Autonomous Wireless Sensor Node for High Accuracy Accelerometer-Based Monitoring. Sensors 19(12): 2747 (2019) - [j24]Philipp Mayer, Michele Magno, Luca Benini:
Self-Sustaining Acoustic Sensor With Programmable Pattern Recognition for Underwater Monitoring. IEEE Trans. Instrum. Meas. 68(7): 2346-2355 (2019) - [j23]Jiawei Liao, Michael Jost, Michael Schaffner, Michele Magno, Matthias Korb, Luca Benini, Felix Tebbenjohanns, René Reimann, Vijay Jain, Michael Gross, Andrei Militaru, Martin Frimmer, Lukás Novotný:
FPGA Implementation of a Kalman-Based Motion Estimator for Levitated Nanoparticles. IEEE Trans. Instrum. Meas. 68(7): 2374-2386 (2019) - [j22]Alain Pegatoquet, Trong Nhan Le, Michele Magno:
A Wake-Up Radio-Based MAC Protocol for Autonomous Wireless Sensor Networks. IEEE/ACM Trans. Netw. 27(1): 56-70 (2019) - [c95]Philipp Mayer, Raphael Strebel, Michele Magno:
ZeroPowerTouch: Zero-Power Smart Receiver for Touch Communication and Sensing in Wearable Applications. DATE 2019: 944-947 - [c94]Simon Benninger, Michele Magno, Andres Gomez, Luca Benini:
EdgeEye: A Long-Range Energy-Efficient Vision Node For Long-Term Edge Computing. IGSC 2019: 1-8 - [c93]Manuel Eggimann, Jonas Erb, Philipp Mayer, Michele Magno, Luca Benini:
Low Power Embedded Gesture Recognition Using Novel Short-Range Radar Sensors. IEEE SENSORS 2019: 1-4 - [c92]Massimo Ballerini, Tommaso Polonelli, Davide Brunelli, Michele Magno, Luca Benini:
Experimental Evaluation on NB-IoT and LoRaWAN for Industrial and IoT Applications. INDIN 2019: 1729-1732 - [c91]Mario Osta, Ali Ibrahim, Michele Magno, Manuel Eggimann, Antonio Pullini, Paolo Gastaldo, Maurizio Valle:
An Energy Efficient System for Touch Modality Classification in Electronic Skin Applications. ISCAS 2019: 1-4 - [c90]Massimo Ballerini, Michele Magno, Davide Brunelli, Guido Cornai, Luca Benini:
NETWIS: A Scalable and Robust Body Sensor Network For Biomedical Application. IWASI 2019: 118-123 - [c89]Manuel Eggimann, Stefan Mach, Michele Magno, Luca Benini:
A RISC-V Based Open Hardware Platform for Always-On Wearable Smart Sensing. IWASI 2019: 169-174 - [c88]Ye Xu, Sebastian Bader, Michele Magno, Philipp Mayer, Bengt Oelmann:
Energy-autonomous On-rotor RPM Sensor Using Variable Reluctance Energy Harvesting. IWASI 2019: 175-180 - [c87]Philipp Mayer, Michele Magno, Thomas Brunner, Luca Benini:
LoRa vs. LoRa: In-Field Evaluation and Comparison For Long-Lifetime Sensor Nodes. IWASI 2019: 307-311 - [c86]Louis Meile, Anja Ulrich, Michele Magno:
Wireless Power Transmission Powering Miniaturized Low Power IoT devices: A Revie. IWASI 2019: 312-317 - [c85]Tim Fischer, Michael Ganz, Nicolas Baumann, Michele Magno:
Piepser: A Smart Wrist-Worn Variometer To Maximize The Paragliders Flytime. SAS 2019: 1-6 - [c84]Dinko Oletic, Marko Matijascic, Vedran Bilas, Michele Magno:
Hidden Markov Model-Based Asthmatic Wheeze Recognition Algorithm Leveraging the Parallel Ultra-Low-Power Processor (PULP). SAS 2019: 1-6 - [c83]Moritz Scherer, Kiran Menachery, Michele Magno:
SmartAid: A Low-Power Smart Hearing Aid For Stutterers. SAS 2019: 1-6 - [c82]Oliver Brunecker, Michele Magno:
TinyBird: An Energy Neutral Acoustic Bluetooth-Low-Energy Sensor Node with RF Energy Harvesting. ENSsys@SenSys 2019: 1-7 - [c81]Domenico Balsamo, Michele Magno, Kacper Kubara, Bogdan Lazarescu, Geoff V. Merrett:
Energy Harvesting Meets IoT: Fuelling Adoption of Transient Computing in Embedded Systems. WF-IoT 2019: 413-417 - [c80]Philipp Mayer, Michele Magno, Christoph Schnetzler, Luca Benini:
EmbedUWB: Low Power Embedded High-Precision and Low Latency UWB Localization. WF-IoT 2019: 519-523 - [c79]Michele Magno, Lukas Cavigelli, Philipp Mayer, Ferdinand von Hagen, Luca Benini:
FANNCortexM: An Open Source Toolkit for Deployment of Multi-layer Neural Networks on ARM Cortex-M Family Microcontrollers : Performance Analysis with Stress Detection. WF-IoT 2019: 793-798 - [i5]Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini:
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things. CoRR abs/1911.03314 (2019) - [i4]Xiaying Wang, Lukas Cavigelli, Manuel Eggimann, Michele Magno, Luca Benini:
HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data. CoRR abs/1912.04441 (2019) - 2018
- [j21]Maurizio Valle, Ali Ibrahim, Maurizio Martina, Michele Magno:
Selected Articles from the NGCAS 2017 Conference. J. Low Power Electron. 14(1): 99-100 (2018) - [j20]Michele Magno, Ali Ibrahim, Antonio Pullini, Maurizio Valle, Luca Benini:
An Energy Efficient E-Skin Embedded System for Real-Time Tactile Data Decoding. J. Low Power Electron. 14(1): 101-109 (2018) - [j19]Fayçal Ait Aoudia, Matthieu Gautier, Michele Magno, Mickaël Le Gentil, Olivier Berder, Luca Benini:
Long-short range communication network leveraging LoRa™ and wake-up receiver. Microprocess. Microsystems 56: 184-192 (2018) - [j18]Fayçal Ait Aoudia, Matthieu Gautier, Michele Magno, Olivier Berder, Luca Benini:
Leveraging Energy Harvesting and Wake-Up Receivers for Long-Term Wireless Sensor Networks. Sensors 18(5): 1578 (2018) - [j17]Rajeev Piyare, Amy L. Murphy, Michele Magno, Luca Benini:
On-Demand LoRa: Asynchronous TDMA for Energy Efficient and Low Latency Communication in IoT. Sensors 18(11): 3718 (2018) - [j16]Andrin Caviezel, Michael Schaffner, Lukas Cavigelli, Pascal Niklaus, Yves Bühler, Perry Bartelt, Michele Magno, Luca Benini:
Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments. IEEE Trans. Instrum. Meas. 67(4): 767-779 (2018) - [c78]Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini:
Embedded Classification of Local Field Potentials Recorded from Rat Barrel Cortex with Implanted Multi-Electrode Array. BioCAS 2018: 1-4 - [c77]Michele Magno, Philipp Mayer, Luca Benini:
A Self-Sustaining Micro-Watt Programmable Smart Audio Sensor for Always-On Sensing. IGSC 2018: 1-8 - [c76]Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini:
Rat Cortical Layers Classification extracting Evoked Local Field Potential Images with Implanted Multi-Electrode Sensor. HealthCom 2018: 1-6 - [c75]Dinko Oletic, Luka Korman, Michele Magno, Vedran Bilas:
Time-frequency pattern wake-up detector for low-power always-on sensing of acoustic events. I2MTC 2018: 1-6 - [c74]Alessia Maria Elgani, Michele Magno, Francesco Renzini, Luca Perilli, Eleonora Franchi Scarselli, Antonio Gnudi, Roberto Canegallo, Giulio Ricotti, Luca Benini:
Nanowatt Wake-Up Radios: Discrete-Components and Integrated Architectures. ICECS 2018: 793-796 - [c73]Raphael Strebel, Michele Magno:
Zero-power receiver for touch communication and touch sensing: poster abstract. IPSN 2018: 150-151 - [c72]Michele Magno, Stefan Rickli, Josefine Quack, Oliver Brunecker, Luca Benini:
Combining LoRa and RTK to achieve a high precision self-sustaining geo-localization system: poster abstract. IPSN 2018: 160-161 - [c71]Victor Javier Kartsch, Simone Benatti, Mattia Mancini, Michele Magno, Luca Benini:
Smart Wearable Wristband for EMG based Gesture Recognition Powered by Solar Energy Harvester. ISCAS 2018: 1-5 - [c70]Michael Jost, Michael Schaffner, Michele Magno, Matthias Korb, Luca Benini, René Reimann, Vijay Jain, Michael Gross, Andrei Militaru, Martin Frimmer, Lukás Novotný:
An accurate system for optimal state estimation of a levitated nanoparticle. SAS 2018: 1-6 - [c69]Philipp Mayer, Michele Magno, Luca Benini:
Combining microbial fuel cell and ultra-low power event-driven audio detector for zero-power sensing in underwater monitoring. SAS 2018: 1-6 - [c68]Rajeev Piyare, Amy L. Murphy, Michele Magno, Luca Benini:
On-Demand TDMA for Energy Efficient Data Collection with LoRa and Wake-up Receiver. WiMob 2018: 1-4 - [c67]Rajeev Piyare, Amy L. Murphy, Michele Magno, Luca Benini:
KRATOS: An Open Source Hardware-Software Platform for Rapid Research in LPWANs. WiMob 2018: 1-4 - [i3]Rajeev Piyare, Amy L. Murphy, Michele Magno, Luca Benini:
On-Demand TDMA for Energy Efficient Data Collection with LoRa and Wake-up Receiver. CoRR abs/1809.04142 (2018) - [i2]Rajeev Piyare, Amy L. Murphy, Michele Magno, Luca Benini:
KRATOS: An Open Source Hardware-Software Platform for Rapid Research in LPWANs. CoRR abs/1809.04143 (2018) - 2017
- [j15]Michele Magno, Tommaso Polonelli, Filippo Casamassima, Andres Gomez, Elisabetta Farella, Luca Benini:
Energy-Efficient Context Aware Power Management with Asynchronous Protocol for Body Sensor Network. Mob. Networks Appl. 22(5): 814-824 (2017) - [j14]Robin Bolt, Michele Magno, Thomas Burger, Aldo Romani, Luca Benini:
Kinetic AC/DC Converter for Electromagnetic Energy Harvesting in Autonomous Wearable Devices. IEEE Trans. Circuits Syst. II Express Briefs 64-II(12): 1422-1426 (2017) - [j13]Francesco Conti, Daniele Palossi, Renzo Andri, Michele Magno, Luca Benini:
Accelerated Visual Context Classification on a Low-Power Smartwatch. IEEE Trans. Hum. Mach. Syst. 47(1): 19-30 (2017) - [j12]Fayçal Ait Aoudia, Matthieu Gautier, Michele Magno, Olivier Berder, Luca Benini:
A Generic Framework for Modeling MAC Protocols in Wireless Sensor Networks. IEEE/ACM Trans. Netw. 25(3): 1489-1500 (2017) - [c66]Michele Magno, Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder, Luca Benini:
WULoRa: An energy efficient IoT end-node for energy harvesting and heterogeneous communication. DATE 2017: 1528-1533 - [c65]Michele Magno, David Boyle:
Wearable Energy Harvesting: From body to battery. DTIS 2017: 1-6 - [c64]Michele Magno, Fabien Vultier, Bence Szebedy, Luca Benini:
Long-term monitoring of small-sized birds using a miniaturized bluetooth-low-energy sensor node. IEEE SENSORS 2017: 1-3 - [c63]Petar Jokic, Michele Magno:
Powering smart wearable systems with flexible solar energy harvesting. ISCAS 2017: 1-4 - [c62]Michele Magno, Michael Pritz, Philipp Mayer, Luca Benini:
DeepEmote: Towards multi-layer neural networks in a low power wearable multi-sensors bracelet. IWASI 2017: 32-37 - [c61]Daniele Palossi, Jaskirat Singh, Michele Magno, Luca Benini:
Target following on nano-scale Unmanned Aerial Vehicles. IWASI 2017: 170-175 - [c60]Michele Magno, Ali Ibrahim, Antonio Pullini, Maurizio Valle, Luca Benini:
Energy Efficient System for Tactile Data Decoding Using an Ultra-Low Power Parallel Platform. NGCAS 2017: 17-20 - [c59]Gabriele Miorandi, Davide Quaglia, Federico Fraccaroli, Walter Vendraminetto, Enrico Giordano, Michele Magno:
A Low-Complexity Eyewear System for Direction-based Augmented Reality Applications. SenSys 2017: 42:1-42:2 - [e1]Michele Magno, Fabien Ferrero, Vedran Bilas:
Sensor Systems and Software - 7th International Conference, S-Cube 2016, Sophia Antipolis, Nice, France, December 1-2, 2016, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 205, Springer 2017, ISBN 978-3-319-61562-2 [contents] - 2016
- [j11]Fiona Edwards Murphy, Michele Magno, Pádraig M. Whelan, John O'Halloran, Emanuel M. Popovici:
b+WSN: Smart beehive with preliminary decision tree analysis for agriculture and honey bee health monitoring. Comput. Electron. Agric. 124: 211-219 (2016) - [j10]Bruno Srbinovski, Michele Magno, Fiona Edwards Murphy, Vikram Pakrashi, Emanuel M. Popovici:
An Energy Aware Adaptive Sampling Algorithm for Energy Harvesting WSN with Energy Hungry Sensors. Sensors 16(4): 448 (2016) - [j9]Michele Magno, Davide Brunelli, Lukas Sigrist, Renzo Andri, Lukas Cavigelli, Andres Gomez, Luca Benini:
InfiniTime: Multi-sensor wearable bracelet with human body harvesting. Sustain. Comput. Informatics Syst. 11: 38-49 (2016) - [j8]Michele Magno, Vana Jelicic, Bruno Srbinovski, Vedran Bilas, Emanuel M. Popovici, Luca Benini:
Design, Implementation, and Performance Evaluation of a Flexible Low-Latency Nanowatt Wake-Up Radio Receiver. IEEE Trans. Ind. Informatics 12(2): 633-644 (2016) - [c58]Andres Gomez, Lukas Sigrist, Michele Magno, Luca Benini, Lothar Thiele:
Dynamic energy burst scaling for transiently powered systems. DATE 2016: 349-354 - [c57]Dinko Oletic, Vedran Bilas, Michele Magno, Norbert Felber, Luca Benini:
Low-power multichannel spectro-temporal feature extraction circuit for audio pattern wake-up. DATE 2016: 355-360 - [c56]Fayçal Ait Aoudia, Michele Magno, Matthieu Gautier, Olivier Berder, Luca Benini:
A Low Latency and Energy Efficient Communication Architecture for Heterogeneous Long-Short Range Communication. DSD 2016: 200-206 - [c55]Fayçal Ait Aoudia, Michele Magno, Matthieu Gautier, Olivier Berder, Luca Benini:
Analytical and Experimental Evaluation of Wake-Up Receivers Based Protocols. GLOBECOM 2016: 1-7 - [c54]Antonio Libri, Andrea Bartolini, Michele Magno, Luca Benini:
Evaluation of synchronization protocols for fine-grain HPC sensor data time-stamping and collection. HPCS 2016: 818-825 - [c53]Fayçal Ait Aoudia, Michele Magno, Matthieu Gautier, Olivier Berder, Luca Benini:
Poster Abstract: Wake-Up Receivers for Energy Efficient and Low Latency Communication. IPSN 2016: 53:1-53:2 - [c52]Mario Paoli, Dora Spenza, Chiara Petrioli, Michele Magno, Luca Benini:
Poster Abstract: MagoNode++ - A Wake-Up-Radio-Enabled Wireless Sensor Mote for Energy-Neutral Applications. IPSN 2016: 57:1-57:2 - [c51]Tommaso Polonelli, Michele Magno, Luca Benini:
Poster Abstract: An Ultra-Low Power Wake up Radio with Addressing and Retransmission Capabilities for Advanced Energy Efficient MAC Protocols. IPSN 2016: 67:1-67:2 - [c50]Lorenzo Spadaro, Michele Magno, Luca Benini:
Poster Abstract: KinetiSee - A Perpetual Wearable Camera Acquisition System with a Kinetic Harvester. IPSN 2016: 68:1-68:2 - [c49]Michele Magno, Giovanni A. Salvatore, Severin Mutter, Waleed Farrukh, Gerhard Tröster, Luca Benini:
Autonomous smartwatch with flexible sensors for accurate and continuous mapping of skin temperature. ISCAS 2016: 337-340 - [c48]Konstantin Chomu, Vladimir Atanasovski, Liljana Gavrilovska, Michele Magno:
Practical Implementation Aspects of the Data Timed Sending (DTS) Protocol Using Wake-up Radio (WuR). MindCare/Fabulous 2016: 139-144 - [c47]Tommaso Polonelli, Trinh Le Huy, Leonardo Lizzi, Fabien Ferrero, Michele Magno:
A wake-up receiver with ad-hoc antenna co-design for wearable applications. SAS 2016: 1-6 - [c46]Fayçal Ait Aoudia, Matthieu Gautier, Michele Magno, Olivier Berder, Luca Benini:
SNW-MAC: An Asynchronous Protocol Leveraging Wake-Up Receivers for Data Gathering in Star Networks. S-CUBE 2016: 3-14 - [c45]Antonio Pullini, Stefan Mach, Michele Magno, Luca Benini:
A Dual Processor Energy-Efficient Platform with Multi-core Accelerator for Smart Sensing. S-CUBE 2016: 29-40 - [c44]Michele Magno, Angelo D'Aloia, Tommaso Polonelli, Lorenzo Spadaro, Luca Benini:
SHelmet: An Intelligent Self-sustaining Multi Sensors Smart Helmet for Bikers. S-CUBE 2016: 55-67 - [c43]Tommaso Polonelli, Michele Magno:
Smart LED Lights Control Using Nano-Power Wake Up Radios. S-CUBE 2016: 93-104 - [c42]Massimo Del Prete, Diego Masotti, Alessandra Costanzo, Michele Magno, Luca Benini:
A dual-band wake-up radio for ultra-low power Wireless Sensor Networks. WiSNet 2016: 81-84 - [i1]Lukas Cavigelli, Dominic Bernath, Michele Magno, Luca Benini:
Computationally Efficient Target Classification in Multispectral Image Data with Deep Neural Networks. CoRR abs/1611.03130 (2016) - 2015
- [c41]Michele Magno, Tommaso Polonelli, Luca Benini:
A Smart LED Light Control System for Environmentally Friendly Buildings. ApplePies 2015: 181-189 - [c40]Lukas Cavigelli, Michele Magno, Luca Benini:
Accelerating real-time embedded scene labeling with convolutional networks. DAC 2015: 108:1-108:6 - [c39]Filippo Casamassima, Michele Magno, Elisabetta Farella, Luca Benini:
Context Aware Power Management Enhanced by Radio Wake Up in Body Area Networks. EUC 2015: 76-82 - [c38]Andres Gomez, Michele Magno, Xin Wen, Luca Benini:
Extending Body Sensor Nodes' Lifetime Using a Wearable Wake-up Radio. FABULOUS 2015: 108-117 - [c37]Fiona Edwards Murphy, Emanuel M. Popovici, Pádraig M. Whelan, Michele Magno:
Development of an heterogeneous wireless sensor network for instrumentation and analysis of beehives. I2MTC 2015: 346-351 - [c36]Dora Spenza, Michele Magno, Stefano Basagni, Luca Benini, Mario Paoli, Chiara Petrioli:
Beyond duty cycling: Wake-up radio with selective awakenings for long-lived wireless sensing systems. INFOCOM 2015: 522-530 - [c35]Michele Magno, Lukas Cavigelli, Renzo Andri, Luca Benini:
Ultra-Low Power Context Recognition Fusing Sensor Data from an Energy-Neutral Smart Watch. IoT 360 (2) 2015: 331-343 - [c34]Fiona Edwards Murphy, Michele Magno, Liam O'Leary, Killian Troy, Pádraig M. Whelan, Emanuel M. Popovici:
Big brother for bees (3B) - Energy neutral platform for remote monitoring of beehive imagery and sound. IWASI 2015: 106-111 - [c33]Trong Nhan Le, Alain Pegatoquet, Michele Magno:
Asynchronous on demand MAC protocol using wake-up radio in wireless body area network. IWASI 2015: 228-233 - [c32]Vana Jelicic, Michele Magno, Kiran Chikkadi, Cosmin Roman, Christofer Hierold, Vedran Bilas, Luca Benini:
Towards Internet of Things for event-driven low-power gas sensing using carbon nanotubes. IWASI 2015: 271-276 - [c31]Jetmir Nehani, Davide Brunelli, Michele Magno, Lukas Sigrist, Luca Benini:
An Energy Neutral Wearable Camera with EPD Display. WearSys@MobiSys 2015: 1-6 - [c30]Andres Gomez, Marie Francine Lagadec, Michele Magno, Luca Benini:
Self-powered wireless sensor nodes for monitoring radioactivity in contaminated areas using unmanned aerial vehicles. SAS 2015: 1-6 - [c29]Fiona Edwards Murphy, Michele Magno, Pádraig M. Whelan, Emanuel Popo Vici:
b+WSN: Smart beehive for agriculture, environmental, and honey bee health monitoring - Preliminary results and analysis. SAS 2015: 1-6 - [c28]Bruno Srbinovski, Michele Magno, Brendan O'Flynn, Vikram Pakrashi, Emanuel M. Popovici:
Energy aware adaptive sampling algorithm for energy harvesting wireless sensor networks. SAS 2015: 1-6 - [c27]Massimo Del Prete, Diego Masotti, Alessandra Costanzo, Michele Magno, Luca Benini:
A 2.4 GHz-868 MHz dual-band wake-up radio for wireless sensor network and IoT. WiMob 2015: 322-328 - 2014
- [j7]Michele Magno, Stevan Jovica Marinkovic, Bruno Srbinovski, Emanuel M. Popovici:
Wake-up radio receiver based power minimization techniques for wireless sensor networks: A review. Microelectron. J. 45(12): 1627-1633 (2014) - [j6]Michele Magno, Christian Spagnol, Luca Benini, Emanuel M. Popovici:
A low power wireless node for contact and contactless heart monitoring. Microelectron. J. 45(12): 1656-1664 (2014) - [j5]Michele Magno, David Boyle, Davide Brunelli, Brendan O'Flynn, Emanuel M. Popovici, Luca Benini:
Extended Wireless Monitoring Through Intelligent Hybrid Energy Supply. IEEE Trans. Ind. Electron. 61(4): 1871-1881 (2014) - [j4]Michele Magno, David Boyle, Davide Brunelli, Emanuel M. Popovici, Luca Benini:
Ensuring Survivability of Resource-Intensive Sensor Networks Through Ultra-Low Power Overlays. IEEE Trans. Ind. Informatics 10(2): 946-956 (2014) - [c26]Valeria Loscrì, Michele Magno, Rosario Surace:
Video Surveillance Applications Based on Ultra-Low Power Sensors. ADHOCNETS 2014: 235-244 - [c25]Michele Magno, Danilo Porcarelli, Davide Brunelli, Luca Benini:
InfiniTime: A multi-sensor energy neutral wearable bracelet. IGCC 2014: 1-8 - [c24]Pouya Kamalinejad, Kamyar Keikhosravy, Michele Magno, Shahriar Mirabbasi, Victor C. M. Leung, Luca Benini:
A high-sensitivity fully passive wake-up radio front-end for wireless sensor nodes. ICCE 2014: 209-210 - [c23]Michele Magno, Luca Benini:
An ultra low power high sensitivity wake-up radio receiver with addressing capability. WiMob 2014: 92-99 - 2013
- [j3]Michele Magno, Federico Tombari, Davide Brunelli, Luigi Di Stefano, Luca Benini:
Multimodal Video Analysis on Self-Powered Resource-Limited Wireless Smart Camera. IEEE J. Emerg. Sel. Topics Circuits Syst. 3(2): 223-235 (2013) - [c22]Davide Brunelli, Michele Magno, Danilo Porcarelli, Luca Benini:
A Multi Harvester with Hydrogen Fuel Cell for Outdoor Applications. ApplePies 2013: 103-112 - [c21]Michele Magno, Nathan Jackson, Alan Mathewson, Luca Benini, Emanuel M. Popovici:
Combination of hybrid energy harvesters with MEMS piezoelectric and nano-Watt radio wake up to extend lifetime of system for wireless sensor nodes. ARCS Workshops 2013 - [c20]Alex S. Weddell, Michele Magno, Geoff V. Merrett, Davide Brunelli, Bashir M. Al-Hashimi, Luca Benini:
A survey of multi-source energy harvesting systems. DATE 2013: 905-908 - [c19]Michele Magno, Danilo Porcarelli, Luca Benini, Davide Brunelli:
A power-aware multi harvester power unit with hydrogen fuel cell for embedded systems in outdoor applications. IGCC 2013: 1-6 - [c18]Michele Magno, Emanuel M. Popovici, Alessandro Bravin, Antonio Libri, Marco Storace, Luca Benini:
Low-power wireless accelerometer-based system for wear detection of bandsaw blades. INDIN 2013: 630-635 - [c17]Emanuel M. Popovici, Michele Magno, Stevan Marinkovic:
Power management techniques for Wireless Sensor Networks: A review. IWASI 2013: 194-198 - [c16]Michele Magno, Luca Benini, L. Gaggero, J. P. La Torre Aro, Emanuel M. Popovici:
A versatile biomedical wireless sensor node with novel drysurface sensors and energy efficient power management. IWASI 2013: 217-222 - [c15]Fiona Edwards Murphy, Michele Magno, Aidan Frost, Amy Long, Naomi Corbett, Emanuel M. Popovici:
Demo Abstract: SmartSync; When Toys Meet Wireless Sensor Networks. REALWSN 2013: 91-96 - [c14]Trong Nhan Le, Michele Magno, Alain Pegatoquet, Olivier Berder, Olivier Sentieys, Emanuel M. Popovici:
Ultra low power asynchronous MAC protocol using wake-up radio for energy neutral WSN. ENSSys@SenSys 2013: 10:1-10:6 - [c13]Danilo Porcarelli, Michele Magno, Davide Brunelli, Luca Benini:
Heterogeneous multi-harvester for wireless sensor networks. ENSSys@SenSys 2013: 14:1-14:2 - [c12]Michele Magno, Davide Brunelli, Luca Benini, Roberta Giuffrida, Salvatore Leonardi, Andrea Lazzara:
Powering wireless sensor nodes with micro fuel cells. ENSSys@SenSys 2013: 16:1-16:2 - [c11]Michele Magno, Luca Benini, Christian Spagnol, Emanuel M. Popovici:
Wearable low power dry surface wireless sensor node for healthcare monitoring application. WiMob 2013: 189-195 - 2012
- [c10]Michele Magno, Stevan Jovica Marinkovic, Davide Brunelli, Emanuel M. Popovici, Brendan O'Flynn, Luca Benini:
Smart power unit with ultra low power radio trigger capabilities for wireless sensor networks. DATE 2012: 75-80 - [c9]Michele Magno, Stevan Jovica Marinkovic, Davide Brunelli, Luca Benini, Emanuel M. Popovici:
Combined methods to extend the lifetime of power hungry WSN with multimodal sensors and nanopower wakeups. IWCMC 2012: 112-117 - [c8]Vana Jelicic, Michele Magno, Davide Brunelli, Vedran Bilas, Luca Benini:
Analytic comparison of wake-up receivers for WSNs and benefits over the wake-on radio scheme. PM2HW2N@MSWiM 2012: 99-106 - 2011
- [c7]Alessandro Lanza, Michele Magno, Davide Brunelli, Luigi Di Stefano, Luca Benini:
Energy-aware objects abandon / removal detection. AVSS 2011: 443-448 - 2010
- [c6]Michele Magno, Davide Brunelli, Piero Zappi, Luca Benini:
Energy Efficient Cooperative Multimodal Ambient Monitoring. EuroSSC 2010: 56-70 - [c5]Michele Magno, Alessandro Lanza, Davide Brunelli, Luigi Di Stefano, Luca Benini:
Energy aware multimodal embedded video surveillance. VLSI-SoC 2010: 264-269
2000 – 2009
- 2009
- [c4]Michele Magno, Federico Tombari, Davide Brunelli, Luigi Di Stefano, Luca Benini:
Multimodal Abandoned/Removed Object Detection for Low Power Video Surveillance Systems. AVSS 2009: 188-193 - [c3]Michele Magno, Davide Brunelli, Lothar Thiele, Luca Benini:
Adaptive power control for solar harvesting multimodal wireless smart camera. ICDSC 2009: 1-7 - 2008
- [c2]Michele Magno, Davide Brunelli, Piero Zappi, Luca Benini:
A Solar-powered Video Sensor Node for Energy Efficient Multimodal Surveillance. DSD 2008: 512-519 - 2007
- [j2]Aliaksei Kerhet, Michele Magno, Francesco Leonardi, Andrea Boni, Luca Benini:
A low-power wireless video sensor node for distributed object detection. J. Real Time Image Process. 2(4): 331-342 (2007) - [j1]Alex E. Susu, Michele Magno, Andrea Acquaviva, David Atienza, Giovanni De Micheli:
Reconfiguration Strategies for Environmentally Powered Devices: Theoretical Analysis and Experimental Validation. Trans. High Perform. Embed. Archit. Compil. 1: 341-360 (2007) - [c1]Aliaksei Kerhet, Francesco Leonardi, Andrea Boni, Paolo Lombardo, Michele Magno, Luca Benini:
Distributed video surveillance using hardware-friendly sparse large margin classifiers. AVSS 2007: 87-92
Coauthor Index
[j62] [j60] [j59] [j58] [j57] [j55] [c205] [c197] [d2] [i63] [i61] [i60] [i57] [i56] [i53] [i44] [j53] [j49] [j46] [j44] [c188] [c184] [c183] [c182] [c177] [c170] [c162] [c161] [c160] [c157] [c154] [c151] [c150] [c145] [c140] [d1] [i40] [i39] [i37] [i35] [i30] [i28] [i27] [i26] [i22] [j42] [j41] [j40] [j38] [c132] [c129] [c123] [c122] [c121] [c119] [c114] [i17] [i16] [i14] [i13] [i11] [j37] [j33] [j32] [c113] [c112] [c111] [c110] [i10] [i8] [j31] [j30] [j28] [c104] [c100] [c99] [c98] [c97] [i7] [i6] [j26] [j25] [j24] [j23] [c94] [c93] [c92] [c90] [c89] [c87] [c80] [c79] [i5] [i4] [j20] [j19] [j18] [j17] [j16] [c78] [c77] [c76] [c74] [c72] [c71] [c70] [c69] [c68] [c67] [i3] [i2] [j15] [j14] [j13] [j12] [c66] [c64] [c62] [c61] [c60] [j9] [j8] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c46] [c45] [c44] [c42] [i1] [c41] [c40] [c39] [c38] [c36] [c35] [c32] [c31] [c30] [c27] [j6] [j5] [j4] [c25] [c24] [c23] [j3] [c22] [c21] [c20] [c19] [c18] [c16] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [j2] [c1]
Emanuel M. Popovici
aka: Emanuel Popo Vici
aka: Emanuel Popo Vici
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to record detail pages.
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2025-01-30 21:36 CET by the dblp team
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