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), 1-35, 2011 | 534 | 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 | 500 | 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 | 386 | 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 | 269 | 2005 |
Recognition of dietary activity events using on-body sensors O Amft, G Tröster Artificial intelligence in medicine 42 (2), 121-136, 2008 | 267 | 2008 |
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 | 258 | 2005 |
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 | 239 | 2007 |
On-body sensing solutions for automatic dietary monitoring O Amft, G Troster IEEE pervasive computing 8 (2), 62-70, 2009 | 217 | 2009 |
Active capacitive sensing: Exploring a new wearable sensing modality for activity recognition J Cheng, O Amft, P Lukowicz Pervasive Computing: 8th International Conference, Pervasive 2010, Helsinki …, 2010 | 173 | 2010 |
Rapid prototyping of activity recognition applications D Bannach, O Amft, P Lukowicz IEEE Pervasive Computing 7 (2), 22-31, 2008 | 163 | 2008 |
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 | 155 | 2012 |
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 | 152 | 2012 |
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 | 137 | 2014 |
Bite weight prediction from acoustic recognition of chewing O Amft, M Kusserow, G Troster IEEE Transactions on Biomedical Engineering 56 (6), 1663-1672, 2009 | 131 | 2009 |
A wearable earpad sensor for chewing monitoring O Amft SENSORS, 2010 IEEE, 222-227, 2010 | 129 | 2010 |
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 | 126 | 2006 |
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 | 125 | 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 | 123 | 2006 |
From backpacks to smartphones: Past, present, and future of wearable computers O Amft, P Lukowicz IEEE Pervasive Computing 8 (3), 8-13, 2009 | 116 | 2009 |
Monitoring chewing and eating in free-living using smart eyeglasses R Zhang, O Amft IEEE journal of biomedical and health informatics 22 (1), 23-32, 2017 | 110 | 2017 |