Li, Jie and Gu, Xiao and Qiu, Sen and Zhou, Xu and Cangelosi, Angelo and Loo, Chu Kiong and Liu, Xiaofeng (2024) A Survey of Wearable Lower Extremity Neurorehabilitation Exoskeleton: Sensing, Gait Dynamics, and Human-Robot Collaboration. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54 (6). pp. 3675-3693. ISSN 2168-2216, DOI https://doi.org/10.1109/TSMC.2024.3369071.
Full text not available from this repository.Abstract
The lower extremity exoskeleton, which can sense the neural motion state of the human body and then provide motion assistance, is gradually replacing the traditional wheelchairs and assistive devices, making many patients with disabilities or movement disorders able to regain the walking function. This survey provides a comprehensive review on recent technological advances in lower extremity neurorehabilitation exoskeleton from the perspectives of sensing, gait dynamics, and human-robot collaboration. For each technology category, a detailed comparison among state-of-the-art solutions is provided. The results show that the exoskeleton has been greatly improved in mechanical and learning ability. However, some issues, such as adaptability, safety, and efficiency still restrict the development of exoskeleton technology. To address these problems, the remaining open challenges and future directions to improve intelligence, sensing, gait analysis, trust, efficiency, generalization, and power consumption of exoskeleton are also presented and discussed.
| Item Type: | Article |
|---|---|
| Funders: | National Natural Science Foundation of China (NSFC) |
| Uncontrolled Keywords: | Body sensor network; human-machine interaction; hybrid enhanced intelligence; wearable exoskeleton |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 21 Oct 2024 08:24 |
| Last Modified: | 21 Oct 2024 08:24 |
| URI: | http://eprints.um.edu.my/id/eprint/45441 |
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