| Physical human activity recognition using wearable sensors F Attal, S Mohammed, M Dedabrishvili, F Chamroukhi, L Oukhellou, ... Sensors 15 (12), 31314-31338, 2015 | 912 | 2015 |
| Lower limb wearable robots for assistance and rehabilitation: A state of the art W Huo, S Mohammed, JC Moreno, Y Amirat IEEE systems Journal 10 (3), 1068-1081, 2014 | 471 | 2014 |
| An unsupervised approach for automatic activity recognition based on hidden Markov model regression D Trabelsi, S Mohammed, F Chamroukhi, L Oukhellou, Y Amirat IEEE Transactions on automation science and engineering 10 (3), 829-835, 2013 | 219 | 2013 |
| Control of upper-limb power-assist exoskeleton using a human-robot interface based on motion intention recognition J Huang, W Huo, W Xu, S Mohammed, Y Amirat IEEE transactions on automation science and engineering 12 (4), 1257-1270, 2015 | 188 | 2015 |
| Ubiquitous robotics: Recent challenges and future trends A Chibani, Y Amirat, S Mohammed, E Matson, N Hagita, M Barreto Robotics and Autonomous Systems 61 (11), 1162-1172, 2013 | 131 | 2013 |
| Lower-limb movement assistance through wearable robots: State of the art and challenges S Mohammed, Y Amirat, H Rifai Advanced Robotics 26 (1-2), 1-22, 2012 | 129 | 2012 |
| Joint segmentation of multivariate time series with hidden process regression for human activity recognition F Chamroukhi, S Mohammed, D Trabelsi, L Oukhellou, Y Amirat Neurocomputing 120, 633-644, 2013 | 121 | 2013 |
| Data-driven based approach to aid Parkinson’s disease diagnosis N Khoury, F Attal, Y Amirat, L Oukhellou, S Mohammed Sensors 19 (2), 242, 2019 | 93 | 2019 |
| Nonlinear disturbance observer based sliding mode control of a human-driven knee joint orthosis S Mohammed, W Huo, J Huang, H Rifaï, Y Amirat Robotics and Autonomous Systems 75, 41-49, 2016 | 89 | 2016 |
| Fast gait mode detection and assistive torque control of an exoskeletal robotic orthosis for walking assistance W Huo, S Mohammed, Y Amirat, K Kong IEEE Transactions on Robotics 34 (4), 1035-1052, 2018 | 81 | 2018 |
| A generalized control framework of assistive controllers and its application to lower limb exoskeletons S Oh, E Baek, S Song, S Mohammed, D Jeon, K Kong Robotics and Autonomous Systems 73, 68-77, 2015 | 81 | 2015 |
| Active impedance control of a lower limb exoskeleton to assist sit-to-stand movement W Huo, S Mohammed, Y Amirat, K Kong 2016 IEEE international conference on robotics and automation (ICRA), 3530-3536, 2016 | 78 | 2016 |
| Recognition of gait cycle phases using wearable sensors S Mohammed, A Same, L Oukhellou, K Kong, W Huo, Y Amirat Robotics and Autonomous Systems 75, 50-59, 2016 | 77 | 2016 |
| Toward lower limbs functional rehabilitation through a knee-joint exoskeleton H Rifaï, S Mohammed, K Djouani, Y Amirat IEEE Transactions on Control Systems Technology 25 (2), 712-719, 2016 | 75 | 2016 |
| Powered orthosis for lower limb movements assistance and rehabilitation W Hassani, S Mohammed, H Rifaï, Y Amirat Control Engineering Practice 26, 245-253, 2014 | 63 | 2014 |
| Automatic recognition of gait phases using a multiple-regression hidden Markov model F Attal, Y Amirat, A Chibani, S Mohammed IEEE/ASME Transactions on Mechatronics 23 (4), 1597-1607, 2018 | 62 | 2018 |
| Towards intelligent lower limb wearable robots: Challenges and perspectives-State of the art S Mohammed, Y Amirat 2008 IEEE international conference on robotics and biomimetics, 312-317, 2009 | 62 | 2009 |
| Perspectives on biologically inspired hybrid and multi-modal locomotion KH Low, T Hu, S Mohammed, J Tangorra, M Kovac Bioinspiration & biomimetics 10 (2), 020301, 2015 | 59 | 2015 |
| Real-time EMG driven lower limb actuated orthosis for assistance as needed movement strategy W Hassani, SS Mohammed, YY Amirat RSS 2013, http://roboticsproceedings. org/rss09/p54. pdf, 2013 | 57 | 2013 |
| Posture estimation and human support using wearable sensors and walking-aid robot J Huang, W Xu, S Mohammed, Z Shu Robotics and Autonomous Systems 73, 24-43, 2015 | 56 | 2015 |
Weiguang HuoNankai University & Imperial College London在 imperial.ac.uk 的电子邮件经过验证
