| Deep, convolutional, and recurrent models for human activity recognition using wearables. NY Hammerla, S Halloran, T Ploetz Proc. IJCAI 2016 (arXiv preprint arXiv:1604.08880), 2016 | 869 | 2016 |
| Large scale population assessment of physical activity using wrist worn accelerometers: the UK biobank study A Doherty, D Jackson, N Hammerla, T Plötz, P Olivier, MH Granat, T White, ... PloS one 12 (2), e0169649, 2017 | 613 | 2017 |
| Feature learning for activity recognition in ubiquitous computing T Plötz, NY Hammerla, PL Olivier Twenty-second international joint conference on artificial intelligence, 2011 | 400 | 2011 |
| Ensembles of Deep LSTM Learners for Activity Recognition using Wearables Y Guan, T Ploetz PACM IMWUT 1 (2), 2017 | 362 | 2017 |
| Markov models for offline handwriting recognition: a survey T Plötz, GA Fink International Journal on Document Analysis and Recognition (IJDAR) 12 (4 …, 2009 | 283 | 2009 |
| The mobile fitness coach: Towards individualized skill assessment using personalized mobile devices M Kranz, A Möller, N Hammerla, S Diewald, P Olivier, L Roalter, T Plötz Pervasive and Mobile Computing 9 (2), 203-215, 2013 | 279 | 2013 |
| PD disease state assessment in naturalistic environments using deep learning N Hammerla, T Ploetz, L Rochester, J Fisher, R Walker, PE Andras Keele University, 2015 | 201 | 2015 |
| Early detection of health and welfare compromises through automated detection of behavioural changes in pigs SG Matthews, AL Miller, J Clapp, T Plötz, I Kyriazakis The Veterinary Journal 217, 43-51, 2016 | 189 | 2016 |
| Multi-modal anchoring for human–robot interaction J Fritsch, M Kleinehagenbrock, S Lang, T Plötz, GA Fink, G Sagerer Robotics and Autonomous Systems 43 (2-3), 133-147, 2003 | 152 | 2003 |
| On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution NY Hammerla, R Kirkham, P Andras, T Plötz Proc. Int. Symposium on Wearable Computers (ISWC), 65-68, 2013 | 135 | 2013 |
| Physical activity, sedentary behaviour and metabolic control following stroke: a cross-sectional and longitudinal study SA Moore, K Hallsworth, T Plötz, GA Ford, L Rochester, MI Trenell PloS one 8 (1), e55263, 2013 | 127 | 2013 |
| Rapid specification and automated generation of prompting systems to assist people with dementia J Hoey, T Plötz, D Jackson, A Monk, C Pham, P Olivier Pervasive and Mobile Computing 7 (3), 299-318, 2011 | 127 | 2011 |
| Using Unlabeled Data in a Sparse-coding Framework for Human Activity Recognition S Bhattacharya, P Nurmi, N Hammerla, T Ploetz Pervasive and Mobile Computing, 2014 | 124 | 2014 |
| Movement recognition technology as a method of assessing spontaneous general movements in high risk infants C Marcroft, A Khan, N Embleton, M Trenell, T Ploetz Frontiers in Neurology 5 (284), 2015 | 120 | 2015 |
| Optimising sampling rates for accelerometer-based human activity recognition A Khan, N Hammerla, S Mellor, T Plötz Pattern Recognition Letters 73, 33-40, 2016 | 119 | 2016 |
| Dog's Life: Wearable Activity Recognition for Dogs C Ladha, N Hammerla, E Hughs, P Olivier, T Ploetz Proc. Int. Symp. Wearable Comp. (ISWC), 2013 | 114 | 2013 |
| Automatic assessment of problem behavior in individuals with developmental disabilities T Plötz, NY Hammerla, A Rozga, A Reavis, N Call, GD Abowd Proceedings of the 2012 ACM conference on ubiquitous computing, 391-400, 2012 | 114 | 2012 |
| Non-alcoholic fatty liver disease is associated with higher levels of objectively measured sedentary behaviour and lower levels of physical activity than matched healthy controls K Hallsworth, C Thoma, S Moore, T Ploetz, QM Anstee, R Taylor, CP Day, ... Frontline gastroenterology 6 (1), 44-51, 2015 | 110 | 2015 |
| ClimbAX: Skill Assessment for Climbing Enthusiasts C Ladha, N Hammerla, P Olivier, T Ploetz Proc. Int. Conf. Ubiquitous Computing (UbiComp), 2013 | 107 | 2013 |
| Let’s (not) Stick Together: Pairwise Similarity Biases Cross-Validation in Activity Recognition N Hammerla, T Ploetz Proc. UbiComp, 2015 | 99 | 2015 |
Patrick OlivierMonash UniversityVerified email at monash.edu
