default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBrian Caulfield 0001
Person information
- affiliation: University College Dublin, School of Public Health, Physiotherapy and Sports Science, INSIGHT Centre for Data Analytics, Dublin, Ireland
- affiliation (former): University College Dublin, School of Public Health, Physiotherapy and Sports Science, CLARITY Centre for Sensor Web Technology, Dublin, Ireland
Other persons with the same name
- Brian Caulfield 0002
![[0000-0003-3877-475X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3877-475X")
— Trinity College Dublin, Department of Civil, Structural and Environmental Engineering, Dublin, Ireland
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j28]Álvaro Pareja-Cano, José María Arjona, Brian Caulfield, Antonio I. Cuesta-Vargas:
Parameterization of Biomechanical Variables through Inertial Measurement Units (IMUs) in Occasional Healthy Runners. Sensors 24(7): 2191 (2024)- [j27]Alison Keogh, Rob Argent, Cailbhe Doherty, Ciara Duignan, Orna Fennelly, Ciaran Purcell, William Johnston, Brian Caulfield:
Breaking down the Digital Fortress: The Unseen Challenges in Healthcare Technology - Lessons Learned from 10 Years of Research. Sensors 24(12): 3780 (2024) - [j26]Duc-Anh Nguyen, Cuong Pham, Rob Argent, Brian Caulfield, Nhien-An Le-Khac:
Model and Empirical Study on Multi-tasking Learning for Human Fall Detection. Vietnam. J. Comput. Sci. 11(3): 363-376 (2024) - [c85]Timilehin B. Aderinola, Luca Palmerini, Ilaria D'Ascanio, Lorenzo Chiari, Jochen Klenk, Clemens Becker, Brian Caulfield, Georgiana Ifrim:
Accurate and Efficient Real-World Fall Detection Using Time Series Techniques. AALTD@ECML/PKDD 2024: 52-79 - [c84]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
A Case-Based Reasoning Approach to Post-injury Training Recommendations for Marathon Runners. ICCBR 2024: 338-353 - [c83]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Recommending Personalised Targeted Training Adjustments for Marathon Runners. RecSys 2024: 1051-1056 - [c82]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Using Pseudo Cases and Stratified Case-Based Reasoning to Generate and Evaluate Training Adjustments for Marathon Runners. SGAI Conf. (2) 2024: 88-101 - 2023
- [j25]Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. Data Min. Knowl. Discov. 37(2): 873-912 (2023) - [c81]Bahavathy Kathirgamanathan, Brian Caulfield, Pádraig Cunningham:
Towards Globalised Models for Exercise Classification using Inertial Measurement Units. BSN 2023: 1-4 - [c80]Bahavathy Kathirgamanathan, Thu Trang Nguyen, Brian Caulfield, Georgiana Ifrim, Pádraig Cunningham:
Explaining Fatigue in Runners Using Time Series Analysis on Wearable Sensor Data. PKDD/ECML Workshops (3) 2023: 87-103 - [c79]Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim:
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. ECML/PKDD (6) 2023: 312-329 - [c78]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations. UMAP 2023: 183-193 - [i11]Timilehin B. Aderinola, Hananeh Younesian, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone. CoRR abs/2302.10749 (2023) - [i10]Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim:
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. CoRR abs/2307.04516 (2023) - [i9]Timilehin B. Aderinola, Hananeh Younesian, Cathy Goulding, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Machine Vision-Enabled Sports Performance Analysis. CoRR abs/2312.11340 (2023) - 2022
- [j24]Barry R. Greene, Isabella Premoli, Killian McManus, Denise McGrath, Brian Caulfield:
Predicting Fall Counts Using Wearable Sensors: A Novel Digital Biomarker for Parkinson's Disease. Sensors 22(1): 54 (2022) - [j23]Killian McManus, Barry R. Greene, Lilian Genaro Motti Ader, Brian Caulfield:
Development of Data-Driven Metrics for Balance Impairment and Fall Risk Assessment in Older Adults. IEEE Trans. Biomed. Eng. 69(7): 2324-2332 (2022) - [c77]Shaban Shabani, Alan K. Bourke, Amir Muaremi, Jens Praestgaard, Kate O'Keeffe, Rob Argent, Martin Brom, Celeste Scotti, Brian Caulfield, Lorcan Walsh:
An Automatic Foot and Shank IMU Synchronization Algorithm: Proof-of-concept. EMBC 2022: 4210-4213 - [c76]Kate O'Keeffe, Rob Argent, Alan Bourke, Shaban Shabani, Jens Praestgaard, Amir Muaremi, Cathy Goulding, Martin Brom, Celeste Scotti, Lorcan Walsh, Brian Caulfield:
Test-retest reliability of wireless inertial-sensor derived measurements of knee joint kinematics. EMBC 2022: 4218-4221 - [c75]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
An Extended Case-Based Approach to Race-Time Prediction for Recreational Marathon Runners. ICCBR 2022: 335-349 - [c74]Bahavathy Kathirgamanathan, Cillian Buckley, Brian Caulfield, Pádraig Cunningham:
Feature Subset Selection for Detecting Fatigue in Runners Using Time Series Sensor Data. ICPRAI (1) 2022: 541-552 - [i8]Antonio Bevilacqua, Lisa Alcock, Brian Caulfield, Eran Gazit, Clint Hansen, Neil Ireson, Georgiana Ifrim:
Automated Mobility Context Detection with Inertial Signals. CoRR abs/2205.08409 (2022) - [i7]Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers. CoRR abs/2210.00507 (2022) - 2021
- [j22]Liang Zhao, Kun Chen, Jie Song, Xiaoliang Zhu, Jianwen Sun, Brian Caulfield, Brian Mac Namee:
Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data. IEEE Access 9: 5453-5465 (2021) - [j21]Patrick Slevin, Threase Kessie, John Cullen, Marcus W. Butler, Seamas C. Donnelly, Brian Caulfield:
A qualitative study of clinician perceptions regarding the potential role for digital health interventions for the management of COPD. Health Informatics J. 27(1): 146045822199488 (2021) - [j20]Rob Argent, Antonio Bevilacqua, Alison Keogh, Ailish Daly, Brian Caulfield:
The Importance of Real-World Validation of Machine Learning Systems in Wearable Exercise Biofeedback Platforms: A Case Study. Sensors 21(7): 2346 (2021) - [j19]Barry R. Greene, Killian McManus, Lilian Genaro Motti Ader, Brian Caulfield:
Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine Learning. Sensors 21(14): 4770 (2021) - [j18]Manuel Gil-Martín, William Johnston, Rubén San Segundo, Brian Caulfield:
Scoring Performance on the Y-Balance Test Using a Deep Learning Approach. Sensors 21(21): 7110 (2021) - [c73]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries. ICCBR 2021: 79-93 - [c72]Bahavathy Kathirgamanathan, James Davenport, Brian Caulfield, Pádraig Cunningham:
Using Barycenters as Aggregate Representations of Repetition-Based Time-Series Exercise Data. MLSA@PKDD/ECML 2021: 178-188 - 2020
- [j17]Daniel Kelly, Joan Condell, Kevin Curran, Brian Caulfield:
A multimodal smartphone sensor system for behaviour measurement and health status inference. Inf. Fusion 53: 43-54 (2020) - [j16]Louise Brennan, Enrique Dorronzoro Zubiete, Brian Caulfield:
Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping Review. Sensors 20(1): 181 (2020) - [j15]Marco Viceconti, Sabina Hernandez Penna, Wilhelmus Dartee, Claudia Mazzà, Brian Caulfield, Clemens Becker, Walter Maetzler, Judith Garcia-Aymerich, Giorgio Davico, Lynn Rochester:
Toward a Regulatory Qualification of Real-World Mobility Performance Biomarkers in Parkinson's Patients Using Digital Mobility Outcomes. Sensors 20(20): 5920 (2020) - [j14]Francisco Monteiro-Guerra, Octavio Rivera Romero, Luis Fernández-Luque, Brian Caulfield:
Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review. IEEE J. Biomed. Health Informatics 24(6): 1738-1751 (2020) - [c71]Antonio Bevilacqua, Giovanni Ciampi, Rob Argent, Brian Caulfield, M. Tahar Kechadi:
Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting. AAAI 2020: 13229-13234 - [c70]Lilian Genaro Motti Ader, Brian Caulfield, Benoît Bossavit, Katerina El Raheb, Mathieu Raynal, Nadine Vigouroux, Karine Lan Hing Ting, Pourang P. Irani, Jean Vanderdonckt:
Visual user interfaces for human motion. AVI 2020: 103:1-103:2 - [c69]Lilian Genaro Motti Ader, Killian McManus, Barry R. Greene, Brian Caulfield:
How many steps to represent individual gait? EICS 2020: 8:1-8:4 - [c68]William Johnston, James Davenport, Rachelle Connelly, Brian Caulfield:
Quantifying Y Balance Test performance with multiple and single inertial sensors. EMBC 2020: 4243-4247 - [c67]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Using Case-Based Reasoning to Predict Marathon Performance and Recommend Tailored Training Plans. ICCBR 2020: 67-81 - [c66]Lilian Genaro Motti Ader, Alison Keogh, Killian McManus, Barry R. Greene, Brian Caulfield:
Human Movement Analysis: Introduction to Motion Capture and Applications for Health. ICHI 2020: 1-3 - [c65]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners. RecSys 2020: 539-544
2010 – 2019
- 2019
- [j13]Brian Caulfield, Brenda Reginatto, Patrick Slevin:
Not all sensors are created equal: a framework for evaluating human performance measurement technologies. npj Digit. Medicine 2 (2019) - [j12]Barry R. Greene, Killian McManus, Stephen J. Redmond, Brian Caulfield, Charlene C. Quinn:
Digital assessment of falls risk, frailty, and mobility impairment using wearable sensors. npj Digit. Medicine 2 (2019) - [j11]Rob Argent, Patrick Slevin, Antonio Bevilacqua, Maurice Neligan, Ailish Daly, Brian Caulfield:
Wearable Sensor-Based Exercise Biofeedback for Orthopaedic Rehabilitation: A Mixed Methods User Evaluation of a Prototype System. Sensors 19(2): 432 (2019) - [c64]Louise Brennan, Enrique Dorronzoro Zubiete, Brian Caulfield:
Biofeedback in Breast Cancer Rehabilitation: Applying the WHO ICF Core Set to Identify Opportunities and Recommendations. CBMS 2019: 588-591 - [c63]Antonio Bevilacqua, Louise Brennan, Rob Argent, Brian Caulfield, M. Tahar Kechadi:
Rehabilitation Exercise Segmentation for Autonomous Biofeedback Systems with ConvFSM. EMBC 2019: 574-579 - [c62]William Johnston, Ciaran Purcell, Ciara Duffy, Tara Casey, Barry R. Greene, David Singleton, Denise McGrath, Brian Caulfield:
Investigating normal day to day variations of postural control in a healthy young population using Wii balance boards. EMBC 2019: 2059-2062 - [c61]William Johnston, Martin O'Reilly, Mairead Liston, Rod McLoughlin, Garrett F. Coughlan, Brian Caulfield:
Capturing concussion related changes in dynamic balance using the Quantified Y Balance Test - a case series of six elite rugby union players. EMBC 2019: 2063-2067 - [c60]Killian McManus, Denise McGrath, Barry R. Greene, Olive Lennon, Laura McMahon, Brian Caulfield:
Impact of Exercise Intervention in Parkinson's Disease can be Quantified Using Inertial Sensor Data and Clinical Tests. EMBC 2019: 3507-3510 - [c59]Ciara Duignan, Mark Doolan, David Doyle, Joe McGowan, Sean O'Shaughnessy, Conor Minogue, Brian Caulfield:
A performance comparison of neuromuscular electrical stimulation protocols for isolated quadriceps contraction versus co-contraction of quadriceps and hamstrings. EMBC 2019: 3803-3806 - [c58]Lilian Genaro Motti Ader, Benoît Bossavit, Brian Caulfield, Mathieu Raynal, Karine Lan Hing Ting, Jean Vanderdonckt, Nadine Vigouroux:
HCI Challenges in Human Movement Analysis. INTERACT (4) 2019: 725-730 - [c57]Niladri Sett, Brian Mac Namee, Francesc Calvo, Brian Caulfield, John Costello, Seamas Donnelly, Jonas F. Dorn, Louis Jeay, Alison Keogh, Killian McManus, Ronan H. Mullan, Emer O'Hare, Caroline G. M. Perraudin:
Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data. SGAI Conf. 2019: 183-197 - [i6]Antonio Bevilacqua, Kyle MacDonald, Aamina Rangarej, Venessa Widjaya, Brian Caulfield, M. Tahar Kechadi:
Human Activity Recognition with Convolutional Neural Netowrks. CoRR abs/1906.01935 (2019) - 2018
- [c56]Antonio Bevilacqua, Bing Quan Huang, Rob Argent, Brian Caulfield, M. Tahar Kechadi:
Automatic classification of knee rehabilitation exercises using a single inertial sensor: A case study. BSN 2018: 21-24 - [c55]Hugh Byrne, Brian Caulfield, Madeleine M. Lowery, Chris J. Thompson, Diarmuid Smith, Margaret Griffin, Giuseppe De Vito:
Is it feasible to combine non-standard exercise prescriptions with novel smartphone adaptive coaching systems to improve physical activity and health related outcomes in type 2 diabetes mellitus? PervasiveHealth 2018: 356-359 - [c54]Antonio Bevilacqua, Kyle MacDonald, Aamina Rangarej, Venessa Widjaya, Brian Caulfield, M. Tahar Kechadi:
Human Activity Recognition with Convolutional Neural Networks. ECML/PKDD (3) 2018: 541-552 - [i5]Antonio Bevilacqua, Bing Quan Huang, Rob Argent, Brian Caulfield, M. Tahar Kechadi:
Automatic Classification of Knee Rehabilitation Exercises Using a Single Inertial Sensor: a Case Study. CoRR abs/1812.03880 (2018) - 2017
- [j10]Barry R. Greene, Stephen J. Redmond, Brian Caulfield:
Fall Risk Assessment Through Automatic Combination of Clinical Fall Risk Factors and Body-Worn Sensor Data. IEEE J. Biomed. Health Informatics 21(3): 725-731 (2017) - [j9]Daniel Kelly, Kevin Curran, Brian Caulfield:
Automatic Prediction of Health Status Using Smartphone-Derived Behavior Profiles. IEEE J. Biomed. Health Informatics 21(6): 1750-1760 (2017) - [c53]Martin A. O'Reilly, William Johnston, Cillian Buckley, Darragh Whelan, Brian Caulfield:
The influence of feature selection methods on exercise classification with inertial measurement units. BSN 2017: 193-196 - [c52]Cillian Buckley, Martin A. O'Reilly, Darragh Whelan, Adam Vallely Farrell, Lauren Clark, Vanessa Longo, M. D. Gilchrist, Brian Caulfield:
Binary classification of running fatigue using a single inertial measurement unit. BSN 2017: 197-201 - [c51]Guido Giunti, Estefania Guisado-Fernandez, Brian Caulfield:
Connected Health in Multiple Sclerosis: A Mobile Applications Review. CBMS 2017: 660-665 - [c50]Gabriel R. Signorelli, Matilde M. Fernandez, Francisco M. M. Guerra, Luis Fernández-Luque, Brian Caulfield:
Quality of Information About Physical Activity in Breast Cancer Facebook Pages: A Preliminary Content Review. CBMS 2017: 753-754 - [c49]Dominic O'Connor, Brian Caulfield:
The Application of Neuromuscular Electrical Stimulation (NMES) Technologies in Cancer Care. CBMS 2017: 769-770 - [c48]Louise Brennan, Ailish Daly, Brian Caulfield:
Conceptualising a Targeted Rehabilitation Exercise Biofeedback System for a Cancer Survivorship Population. CBMS 2017: 771-772 - [c47]Kristina Drusany Staric, Petra Bukovec, Brian Caulfield, Ana Madevska Bogdanova, Hrvoje Belani:
ICT-assisted personalized therapy and rehabilitation in urinary incontinence. ConTEL 2017: 69-74 - [c46]Shinji Hotta, Akihiro Inomata, Yuki Sasamoto, Shiho Washizawa, Brian Caulfield:
Unsupervised gait detection using biomechanical restrictions. EMBC 2017: 4009-4013 - [i4]Guido Giunti, Estefania Guisado-Fernandez, Brian Caulfield:
Connected Health in Multiple Sclerosis: a mobile applications review. CoRR abs/1705.03227 (2017) - 2016
- [j8]Daniel Kelly, Brian Caulfield:
Pervasive Sound Sensing: A Weakly Supervised Training Approach. IEEE Trans. Cybern. 46(1): 123-135 (2016) - [c45]Darragh Whelan, Martin O'Reilly, Bing Quan Huang, Oonagh M. Giggins, M. Tahar Kechadi, Brian Caulfield:
Leveraging IMU data for accurate exercise performance classification and musculoskeletal injury risk screening. EMBC 2016: 659-662 - [c44]Matthew R. Patterson, William Johnston, Niamh O'Mahony, Sam O'Mahony, Eimear Nolan, Brian Caulfield:
Validation of temporal gait metrics from three IMU locations to the gold standard force plate. EMBC 2016: 667-671 - [c43]Bing Quan Huang, Oonagh M. Giggins, M. Tahar Kechadi, Brian Caulfield:
The limb movement analysis of rehabilitation exercises using wearable inertial sensors. EMBC 2016: 4686-4689 - [c42]William Johnston, Martin O'Reilly, Kara Dolan, Niamh Reid, Garrett Coughlan, Brian Caulfield:
Objective Classification of Dynamic Balance Using a Single Wearable Sensor. icSPORTS 2016: 15-24 - [c41]Daniel Kelly, Brian Caulfield, Kevin Curran:
Crowdsourced Data Collection of Physical Activity and Health Status: An App Solution. MobiHealth 2016: 151-159 - [c40]Darragh Whelan, Martin O'Reilly, Tomás E. Ward, Eamonn Delahunt, Brian Caulfield:
Evaluating performance of the lunge exercise with multiple and individual inertial measurement units. PervasiveHealth 2016: 101-108 - 2015
- [j7]Barry R. Greene, Stephanie Rutledge, Iain McGurgan, Christopher McGuigan, Karen O'Connell, Brian Caulfield, Niall Tubridy:
Assessment and Classification of Early-Stage Multiple Sclerosis With Inertial Sensors: Comparison Against Clinical Measures of Disease State. IEEE J. Biomed. Health Informatics 19(4): 1356-1361 (2015) - [c39]Martin O'Reilly, Darragh Whelan, Charalampos Chanialidis, Nial Friel, Eamonn Delahunt, Tomás Ward, Brian Caulfield:
Evaluating squat performance with a single inertial measurement unit. BSN 2015: 1-6 - [c38]Daniel Kelly, Seamas Donnelly, Brian Caulfield:
Smartphone derived movement profiles to detect changes in health status in COPD patients - A preliminary investigation. EMBC 2015: 462-465 - [c37]Brenda Reginatto, Kenneth Taylor, Matthew R. Patterson, Dermot Power, Yusuke Komaba, Kazuho Maeda, Akihiro Inomata, Brian Caulfield:
Context aware falls risk assessment: A case study comparison. EMBC 2015: 5477-5480 - [c36]Kenneth Taylor, Brenda Reginatto, Matthew R. Patterson, Dermot Power, Yusuke Komaba, Kazuho Maeda, Akihiro Inomata, Brian Caulfield:
Context focused older adult mobility and gait assessment. EMBC 2015: 6943-6946 - [c35]Oonagh M. Giggins, Brian Caulfield:
Proposed Design Approach for an Interactive Feedback Technology Support in Rehabilitation. REHAB 2015: 34-37 - [c34]Darragh Whelan, Martin O'Reilly, Tomás Ward, Eamonn Delahunt, Brian Caulfield:
Evaluating Performance of the Single Leg Squat Exercise with a Single Inertial Measurement Unit. REHAB 2015: 144-147 - 2014
- [j6]Matthew R. Patterson, Eamonn Delahunt, Kevin T. Sweeney, Brian Caulfield:
An Ambulatory Method of Identifying Anterior Cruciate Ligament Reconstructed Gait Patterns. Sensors 14(1): 887-899 (2014) - [c33]Brian Caulfield, Indira Kaljo, Seamas Donnelly:
Use of a consumer market activity monitoring and feedback device improves exercise capacity and activity levels in COPD. EMBC 2014: 1765-1768 - [c32]Oonagh M. Giggins, Kevin T. Sweeney, Brian Caulfield:
The use of inertial sensors for the classification of rehabilitation exercises. EMBC 2014: 2965-2968 - [c31]Barry R. Greene, Michael Healy, Stephanie Rutledge, Brian Caulfield, Niall Tubridy:
Quantitative assessment of multiple sclerosis using inertial sensors and the TUG test. EMBC 2014: 2977-2980 - [c30]Matthew R. Patterson, Darragh Whelan, Brenda Reginatto, Niamh Caprani, Lorcan Walsh, Alan F. Smeaton, Akihiro Inomata, Brian Caulfield:
Does external walking environment affect gait patterns? EMBC 2014: 2981-2984 - [c29]Barry R. Greene, Denise McGrath, Brian Caulfield:
A comparison of cross-sectional and prospective algorithms for falls risk assessment. EMBC 2014: 4527-4530 - 2013
- [j5]Michael J. O'Grady, Brian Caulfield, Gregory M. P. O'Hare:
Advances in pervasive health. J. Ambient Intell. Humaniz. Comput. 4(6): 703-704 (2013) - [j4]Daniel Kelly, Barry Smyth, Brian Caulfield:
Uncovering Measurements of Social and Demographic Behavior From Smartphone Location Data. IEEE Trans. Hum. Mach. Syst. 43(2): 188-198 (2013) - [c28]Brian Caulfield, Ann Prendergast, Gary Rainsford, Conor Minogue:
Self directed home based electrical muscle stimulation training improves exercise tolerance and strength in healthy elderly. EMBC 2013: 7036-7039 - [c27]Matthew R. Patterson, Brian Caulfield:
Using a foot mounted accelerometer to detect changes in gait patterns. EMBC 2013: 7471-7475 - [c26]Oonagh M. Giggins, Daniel Kelly, Brian Caulfield:
Evaluating rehabilitation exercise performance using a single inertial measurement unit. PervasiveHealth 2013: 49-56 - 2012
- [j3]Alan F. Smeaton, James Lanagan, Brian Caulfield:
Combining wearable sensors for location-free monitoring of gait in older people. J. Ambient Intell. Smart Environ. 4(4): 335-346 (2012) - [c25]Denise McGrath, Emer P. Doheny, Lorcan Walsh, David J. McKeown, Clodagh Cunningham, Lisa Crosby, Rose-Anne Kenny, Nicholas Stergiou, Brian Caulfield, Barry R. Greene:
Taking balance measurement out of the laboratory and into the home: Discriminatory capability of novel centre of pressure measurement in fallers and non-fallers. EMBC 2012: 3296-3299 - [c24]Emer P. Doheny, Denise McGrath, Barry R. Greene, Lorcan Walsh, David J. McKeown, Clodagh Cunningham, Lisa Crosby, Rose-Anne Kenny, Brian Caulfield:
Displacement of centre of mass during quiet standing assessed using accelerometry in older fallers and non-fallers. EMBC 2012: 3300-3303 - [c23]Daniel Kelly, Brian Caulfield:
An investigation into non-invasive physical activity recognition using smartphones. EMBC 2012: 3340-3343 - [c22]Matthew R. Patterson, Brian Caulfield:
Comparing adaptive algorithms to measure temporal gait parameters using lower body mounted inertial sensors. EMBC 2012: 4509-4512 - 2011
- [c21]Denise McGrath, Barry R. Greene, Emer P. Doheny, David J. McKeown, Giuseppe De Vito, Brian Caulfield:
Reliability of quantitative TUG measures of mobility for use in falls risk assessment. EMBC 2011: 466-469 - [c20]Lorcan Walsh, Barry R. Greene, Denise McGrath, Adrian Burns, Brian Caulfield:
Development and validation of a clinic based balance assessment technology. EMBC 2011: 1327-1330 - [c19]Brian Caulfield, Louis Crowe, Garrett Coughlan, Conor Minogue:
Clinical application of neuromuscular electrical stimulation induced cardiovascular exercise. EMBC 2011: 3266-3269 - [c18]Matthew R. Patterson, Brian Caulfield:
Using a shoe mounted tri-axial accelerometer to detect kinematic changes during stiff ankle walking. EMBC 2011: 3492-3495 - [c17]Barry R. Greene, Denise McGrath, Timothy G. Foran, Emer P. Doheny, Brian Caulfield:
Body-worn sensor based surrogates of minimum ground clearance in elderly fallers and controls. EMBC 2011: 6499-6502 - [c16]Matthew R. Patterson, Denise McGrath, Brian Caulfield:
Using a tri-axial accelerometer to detect technique breakdown due to fatigue in distance runners: A preliminary perspective. EMBC 2011: 6511-6514 - [c15]Simon Coghlan, Louis Crowe, Ulrik McCarthyPersson, Conor Minogue, Brian Caulfield:
Neuromuscular electrical stimulation training results in enhanced activation of spinal stabilizing muscles during spinal loading and improvements in pain ratings. EMBC 2011: 7622-7625 - [c14]Matthew R. Patterson, Brian Caulfield:
A novel approach for assessing gait using foot mounted accelerometers. PervasiveHealth 2011: 218-221 - [c13]Julie Doyle, Daniel Kelly, Brian Caulfield:
Design considerations in therapeutic exergaming. PervasiveHealth 2011: 389-393 - [c12]Brian Caulfield, Jason Blood, Barry Smyth, Daniel Kelly:
Rehabilitation exercise feedback on Android platform. Wireless Health 2011: 18 - [i3]James Lanagan, Alan F. Smeaton, Brian Caulfield:
Utilizing Wearable and Environmental Sensors to Create a Smarter, Safer Home. ERCIM News 2011(87) (2011) - 2010
- [j2]Barry R. Greene, Denise McGrath, Ross O'Neill, Karol J. O'Donovan, Adrian Burns, Brian Caulfield:
An adaptive gyroscope-based algorithm for temporal gait analysis. Medical Biol. Eng. Comput. 48(12): 1251-1260 (2010) - [c11]Rachel Christina King, Michael McGrath, Brian Caulfield, Guang-Zhong Yang:
CAPSIL Common Awareness and Knowledge Platform for Studying and Enabling Independent Living. BSN 2010: 283-288 - [c10]Caoimhe Bennis, Denise McGrath, Brian Caulfield, Benjamin Knapp, Niall Coghlan:
A common awareness and knowledge platform for studying and enabling independent living - CAPSIL. PervasiveHealth 2010: 1-7 - [c9]Julie Doyle, Aaron J. Quigley, Paddy Nixon, Brian Caulfield:
Towards a Pattern Language Approach to Sharing Experiences in Healthcare Technology Evaluations. USAB 2010: 124-137
2000 – 2009
- 2009
- [c8]Brendan O'Huiginn, Barry Smyth, Garrett Coughlan, Diarmaid Fitzgerald, Brian Caulfield:
Therapeutic Exergaming. BSN 2009: 273-277 - [i2]John Barton, Brian Caulfield, Niall Moyna:
Inertial Sensing: A Little Bit of CLARITY. ERCIM News 2009(76) (2009) - [i1]Noel E. O'Connor, Philip Kelly, Ciarán Ó Conaire, Damien Connaghan, Alan F. Smeaton, Brian Caulfield, Dermot Diamond, Niall Moyna:
TennisSense: A Multi-Modal Sensing Platform for Sport. ERCIM News 2009(76) (2009) - 2008
- [j1]Lucy E. Dunne, Pauline Walsh, Sonja Hermann, Barry Smyth, Brian Caulfield:
Wearable Monitoring of Seated Spinal Posture. IEEE Trans. Biomed. Circuits Syst. 2(2): 97-105 (2008) - 2007
- [c7]Lucy E. Dunne, Pauline Walsh, Barry Smyth, Brian Caulfield:
A System for Wearable Monitoring of Seated Posture in Computer Users. BSN 2007: 203-207 - [c6]Lucy E. Dunne, Barry Smyth, Brian Caulfield:
A Comparative Evaluation of Bend Sensors for Wearable Applications. ISWC 2007: 121-122 - [c5]Lucy E. Dunne, Barry Smyth, Brian Caulfield:
Evaluating the Impact of Garment Structure on Wearable Sensor Performance. ISWC 2007: 123-124 - 2006
- [c4]John Foody, Daniel Kelly, Damini Kumar, Diarmaid Fitzgerald, Tomás Ward, Brian Caulfield, Charles Markham:
A Prototype Sourceless Kinematic-Feedback Based Video Game for Movement Based Exercise. EMBC 2006: 5366-5369 - [c3]Pauline Walsh, Lucy E. Dunne, Brian Caulfield, Barry Smyth:
Marker-Based Monitoring of Seated Spinal Posture Using a Calibrated Single-Variable Threshold Model. EMBC 2006: 5370-5373 - [c2]Lucy E. Dunne, Pauline Walsh, Barry Smyth, Brian Caulfield:
Design and Evaluation of a Wearable Optical Sensor for Monitoring Seated Spinal Posture. ISWC 2006: 65-68
1990 – 1999
- 1990
- [c1]Francisca Antunes, Seán Baker, Brian Caulfield, Mauricio Lopez, Mark Sheppard:
A Pragmatic Approach for Integrating Data Management and Tasks Management: Modelling and Implementation Issues. EDBT 1990: 422-436
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-02 23:20 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
