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ORCIDGiovanni Schiboni
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2020 – today
- 2022
[b1]Giovanni Schiboni:
Energy-efficient wearable system design for natural dietary behaviour monitoring. University of Freiburg, Germany, 2022- [j3]Giovanni Schiboni, Juan Carlos Suarez
, Rui Zhang, Oliver Amft:
Correction: Schiboni et al. DynDSE: Automated Multi-Objective Design Space Exploration for Context-Adaptive Wearable IoT Edge Devices. Sensors 2020, 20, 6104. Sensors 22(18): 6808 (2022) - [j2]Giovanni Schiboni, Celia Martín Vicario, Juan Carlos Suarez, Federico Cruciani, Oliver Amft:
Context-Adaptive Sub-Nyquist Sampling for Low-Power Wearable Sensing Systems. IEEE Trans. Mob. Comput. 21(12): 4249-4262 (2022) - 2020
- [j1]Giovanni Schiboni, Juan Carlos Suarez, Rui Zhang, Oliver Amft:
DynDSE: Automated Multi-Objective Design Space Exploration for Context-Adaptive Wearable IoT Edge Devices. Sensors 20(21): 6104 (2020)
2010 – 2019
- 2019
- [c5]Giovanni Schiboni, Juan Carlos Suarez, Rui Zhang, Oliver Amft:
Attention-Based Adaptive Sampling for Continuous EMG Data Streams. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1178-1183 - 2018
- [c4]Giovanni Schiboni, Oliver Amft:
Saving energy on wrist-mounted inertial sensors by motion-adaptive duty-cycling in free-living. BSN 2018: 197-200 - [c3]Giovanni Schiboni, Oliver Amft:
Sparse natural gesture spotting in free living to monitor drinking with wrist-worn inertial sensors. UbiComp 2018: 140-147 - [c2]Giovanni Schiboni, Fabio Wasner, Oliver Amft:
A Privacy-Preserving Wearable Camera Setup for Dietary Event Spotting in Free-Living. PerCom Workshops 2018: 872-877 - 2015
- [c1]Giovanni Schiboni, Peidong Liang, Chenguang Yang, Liming Chen, Sanja Dogramadzi:
A Bioinspired Feature-Projection-Based Approach to Electromyographic Pattern Recognition Based for High Dimensional Sparse Sensor Data. UIC/ATC/ScalCom 2015: 1706-1711
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