Best practice for motor imagery: a systematic literature review on motor imagery training elements in five different disciplines C Schuster, R Hilfiker, O Amft, A Scheidhauer, B Andrews, J Butler, ... BMC medicine 9, 1-35, 2011 | 607 | 2011 |
Gesture spotting with body-worn inertial sensors to detect user activities H Junker, O Amft, P Lukowicz, G Tröster Pattern Recognition 41 (6), 2010-2024, 2008 | 516 | 2008 |
Advanced internet of things for personalised healthcare systems: A survey J Qi, P Yang, G Min, O Amft, F Dong, L Xu Pervasive and mobile computing 41, 132-149, 2017 | 486 | 2017 |
Analysis of chewing sounds for dietary monitoring O Amft, M Stäger, P Lukowicz, G Tröster UbiComp 2005: Ubiquitous Computing: 7th International Conference, UbiComp …, 2005 | 293 | 2005 |
Recognition of dietary activity events using on-body sensors O Amft, G Tröster Artificial intelligence in medicine 42 (2), 121-136, 2008 | 277 | 2008 |
Recognizing upper body postures using textile strain sensors C Mattmann, O Amft, H Harms, G Troster, F Clemens 2007 11th IEEE international symposium on wearable computers, 29-36, 2007 | 272 | 2007 |
Detection of eating and drinking arm gestures using inertial body-worn sensors O Amft, H Junker, G Troster Ninth IEEE international symposium on wearable computers (ISWC'05), 160-163, 2005 | 271 | 2005 |
On-body sensing solutions for automatic dietary monitoring O Amft, G Troster IEEE pervasive computing 8 (2), 62-70, 2009 | 243 | 2009 |
Active capacitive sensing: Exploring a new wearable sensing modality for activity recognition J Cheng, O Amft, P Lukowicz International conference on pervasive computing, 319-336, 2010 | 196 | 2010 |
A benchmark dataset to evaluate sensor displacement in activity recognition O Bańos, M Damas, H Pomares, I Rojas, MA Tóth, O Amft Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 1026-1035, 2012 | 186 | 2012 |
A distributed PIR-based approach for estimating people count in office environments F Wahl, M Milenkovic, O Amft 2012 IEEE 15th International Conference on Computational Science and …, 2012 | 183 | 2012 |
The agenda of wearable healthcare G Tröster Yearbook of medical informatics 14 (01), 125-138, 2005 | 171 | 2005 |
Rapid prototyping of activity recognition applications D Bannach, O Amft, P Lukowicz IEEE Pervasive Computing 7 (2), 22-31, 2008 | 164 | 2008 |
Mobile health usage, preferences, barriers, and eHealth literacy in rheumatology: patient survey study J Knitza, D Simon, A Lambrecht, C Raab, K Tascilar, M Hagen, A Kleyer, ... JMIR mHealth and uHealth 8 (8), e19661, 2020 | 153 | 2020 |
Bite weight prediction from acoustic recognition of chewing O Amft, M Kusserow, G Troster IEEE Transactions on Biomedical Engineering 56 (6), 1663-1672, 2009 | 150 | 2009 |
Estimating energy expenditure using body-worn accelerometers: a comparison of methods, sensors number and positioning M Altini, J Penders, R Vullers, O Amft IEEE journal of biomedical and health informatics 19 (1), 219-226, 2014 | 149 | 2014 |
Sensing muscle activities with body-worn sensors O Amft, H Junker, P Lukowicz, G Troster, C Schuster International Workshop on Wearable and Implantable Body Sensor Networks (BSN …, 2006 | 145 | 2006 |
A wearable earpad sensor for chewing monitoring O Amft SENSORS, 2010 IEEE, 222-227, 2010 | 142 | 2010 |
Effect of ‘activity monitor-based’counseling on physical activity and health-related outcomes in patients with chronic diseases: a systematic review and meta-analysis AW Vaes, A Cheung, M Atakhorrami, MTJ Groenen, O Amft, ... Annals of medicine 45 (5-6), 397-412, 2013 | 137 | 2013 |
Methods for detection and classification of normal swallowing from muscle activation and sound O Amft, G Troster 2006 Pervasive Health Conference and Workshops, 1-10, 2006 | 136 | 2006 |