Hand gesture recognition for post-stroke rehabilitation using leap motion

Wen Jeng Li, Chia Yeh Hsieh, Li Fong Lin, Woei Chyn Chu

研究成果: 書貢獻/報告類型會議貢獻

34 引文 斯高帕斯(Scopus)

摘要

In order to enhance and/or improve recovery after stroke, rehabilitation needs to start early and be monitored by continuous and recurrent long-Term interventions in the clinic and home setting. The elderly is a high risk stroke group with advancing age, resulting in increasing demand of strengthened resource of hospitals and physiotherapist. The residential rehabilitation for stroke patients would effectively relieve shortages of medical resources. However, the residential rehabilitation for stroke patients faces with the lack of professional guidance, and physiotherapist cannot monitor the rehabilitation progress of stroke patients. These problems may lead to additional harm or deteriorate rehabilitation progress. In order to solve this problem, we develop a hand gesture recognition algorithm devoted to monitor the seven gestures for residential rehabilitation of the post-stroke patients. The gestures were performed by seventeen healthy young subjects. The results were assessed by k-fold cross validation method. The results show that the proposed hand gesture recognition algorithm using multi-class SVM and k-NN classifier achieve accuracy of 97.29% and 97.71%, respectively.
原文英語
主出版物標題Proceedings of the 2017 IEEE International Conference on Applied System Innovation
主出版物子標題Applied System Innovation for Modern Technology, ICASI 2017
編輯Teen-Hang Meen, Artde Donald Kin-Tak Lam, Stephen D. Prior
發行者Institute of Electrical and Electronics Engineers Inc.
頁面386-388
頁數3
ISBN(電子)9781509048977
DOIs
出版狀態已發佈 - 七月 21 2017
事件2017 IEEE International Conference on Applied System Innovation, ICASI 2017 - Sapporo, 日本
持續時間: 五月 13 2017五月 17 2017

會議

會議2017 IEEE International Conference on Applied System Innovation, ICASI 2017
國家日本
城市Sapporo
期間5/13/175/17/17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Mechanical Engineering
  • Media Technology
  • Health Informatics
  • Instrumentation

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