| Locomotion mode classification using a wearable capacitive sensing system B Chen, E Zheng, X Fan, T Liang, Q Wang, K Wei, L Wang IEEE transactions on neural systems and rehabilitation engineering 21 (5 …, 2013 | 100 | 2013 |
| A noncontact capacitive sensing system for recognizing locomotion modes of transtibial amputees E Zheng, L Wang, K Wei, Q Wang IEEE Transactions on Biomedical Engineering 61 (12), 2911-2920, 2014 | 91 | 2014 |
| Noncontact capacitive sensing-based locomotion transition recognition for amputees with robotic transtibial prostheses E Zheng, Q Wang IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (2 …, 2016 | 88 | 2016 |
| Gait phase estimation based on noncontact capacitive sensing and adaptive oscillators E Zheng, S Manca, T Yan, A Parri, N Vitiello, Q Wang IEEE Transactions on Biomedical Engineering 64 (10), 2419-2430, 2017 | 75 | 2017 |
| A locomotion intent prediction system based on multi-sensor fusion B Chen, E Zheng, Q Wang Sensors 14 (7), 12349-12369, 2014 | 66 | 2014 |
| A new strategy for parameter optimization to improve phase-dependent locomotion mode recognition B Chen, E Zheng, Q Wang, L Wang Neurocomputing 149, 585-593, 2015 | 45 | 2015 |
| On the design of a wearable multi-sensor system for recognizing motion modes and sit-to-stand transition E Zheng, B Chen, X Wang, Y Huang, Q Wang International Journal of Advanced Robotic Systems 11 (2), 30, 2014 | 41 | 2014 |
| A wearable plantar pressure measurement system: Design specifications and first experiments with an amputee X Wang, Q Wang, E Zheng, K Wei, L Wang Intelligent Autonomous Systems 12: Volume 2 Proceedings of the 12th …, 2013 | 41 | 2013 |
| Lower limb wearable capacitive sensing and its applications to recognizing human gaits E Zheng, B Chen, K Wei, Q Wang Sensors 13 (10), 13334-13355, 2013 | 31 | 2013 |
| Controlling a robotic hip exoskeleton with noncontact capacitive sensors S Crea, S Manca, A Parri, E Zheng, J Mai, RM Lova, N Vitiello, Q Wang IEEE/ASME Transactions on Mechatronics 24 (5), 2227-2235, 2019 | 29 | 2019 |
| An Electrical-Impedance-Tomography-Based Interface for Human-Robot Collaboration E Zheng*, Y Li, Z Zhao, Q Wang, H Qiao IEEE/ASME Transactions on Mechatronics, 2020 | 16 | 2020 |
| Locomotion mode recognition with robotic transtibial prosthesis in inter-session and inter-day applications E Zheng, Q Wang, H Qiao IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (9 …, 2019 | 16 | 2019 |
| Non-contact capacitance sensing for continuous locomotion mode recognition: Design specifications and experiments with an amputee E Zheng, L Wang, Y Luo, K Wei, Q Wang 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), 1-6, 2013 | 15 | 2013 |
| Forearm motion recognition with noncontact capacitive sensing E Zheng, J Mai, Y Liu, Q Wang Frontiers in Neurorobotics 12, 47, 2018 | 14 | 2018 |
| Toward a human-machine interface based on electrical impedance tomography for robotic manipulator control E Zheng*, Y Li, Q Wang, H Qiao 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 13 | 2019 |
| Wrist Angle Estimation with a Musculoskeletal Model Driven by Electrical Impedance Tomography Signals E Zheng*, J Wan, L Yang, Q Wang, H Qiao IEEE Robotics and Automation Letters, 1-1, 2021 | 11 | 2021 |
| Gait phase detection based on non-contact capacitive sensing: Preliminary results E Zheng, N Vitiello, Q Wang 2015 IEEE International Conference on Rehabilitation Robotics (ICORR), 43-48, 2015 | 9 | 2015 |
| A wearable capacitive sensing system with phase-dependent classifier for locomotion mode recognition E Zheng, B Chen, Q Wang, K Wei, L Wang 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and …, 2012 | 9 | 2012 |
| 面向人机融合的智能动力下肢假肢研究现状与挑战 王启宁， 郑恩昊， 陈保君， 麦金耿 自动化学报 42 (12), 1780-1793, 2016 | 8 | 2016 |
| Locomotion Mode Recognition with Inertial Signals for Hip Joint Exoskeleton G Du, J Zeng, C Gong, E Zheng* Applied Bionics and Biomechanics 2021, 2021 | 6 | 2021 |
Wei KunlinProfessor of Psychology, Peking University在 pku.edu.cn 的电子邮件经过验证
