Hand Rehabilitation Using Virtual Reality Electromyography Signals

Xuerui Yang, Shih Ching Yeh, Jian Niu, Yan Gong, Geng Yang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

7 引文 斯高帕斯(Scopus)

摘要

Recent studies have suggested that virtual reality (VR) has considerable potential for motor rehabilitation. Wearable devices using electromyography (EMG) signals have been rapidly developed for medical use. In this study, a new training system was designed for motor rehabilitation. The system is based on the fusion of VR and EMG signal processing. In this system, after EMG signals are acquired and denoised, and their features are extracted, a mathematical approach using a support vector machine (SVM) is applied to classify gestures. Subsequently, the gestures are sent to a VR environment for rehabilitation training tasks. Stroke patients can use this system. Experimental results indicate the effectiveness and convenience of the system. The approach also shows several advantages. First, no camera is necessary; thus, the space occupied by the system is reduced. Second, gesture control provides a convenient and motivational approach to use the system in rehabilitation tasks. Future research directions include adding gestures; improving recognition accuracy; and integrating various sensors, including those for recording inertia and ECG signals.

原文???core.languages.en_GB???
主出版物標題Proceedings - 2017 5th International Conference on Enterprise Systems
主出版物子標題Industrial Digitalization by Enterprise Systems, ES 2017
編輯Zhibo Pang, Lefei Li, Gang Li
發行者Institute of Electrical and Electronics Engineers Inc.
頁面125-131
頁數7
ISBN(電子)9781538609361
DOIs
出版狀態已出版 - 22 11月 2017
事件5th International Conference on Enterprise Systems, ES 2017 - Beijing, China
持續時間: 22 9月 201724 9月 2017

出版系列

名字Proceedings - 2017 5th International Conference on Enterprise Systems: Industrial Digitalization by Enterprise Systems, ES 2017

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???5th International Conference on Enterprise Systems, ES 2017
國家/地區China
城市Beijing
期間22/09/1724/09/17

指紋

深入研究「Hand Rehabilitation Using Virtual Reality Electromyography Signals」主題。共同形成了獨特的指紋。

引用此