Multi-channel physiological monitoring and integration of intelligence prosthetic arm accessory system

Jian Chiun Liou, Ting Yu Su

研究成果: 書貢獻/報告類型會議貢獻

摘要

Gesture recognition human-computer interaction control system is based on the gesture feature acceleration characteristics It uses finger bending changes to control the development of human-machine interactive system technology for smartphones. It adjusts the automatic alignment of the prosthetic arm system through the tablet computer, and the micro-motor assigned to the joint operates. Enough to control the prosthetic intelligence signal (automatic correction adjustment) is shown in results.
原文英語
主出版物標題Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018
編輯Artde Donald Kin-Tak Lam, Stephen D. Prior, Teen-Hang Meen
發行者Institute of Electrical and Electronics Engineers Inc.
頁面397-398
頁數2
ISBN(電子)9781538643426
DOIs
出版狀態已發佈 - 六月 22 2018
事件4th IEEE International Conference on Applied System Innovation, ICASI 2018 - Chiba, 日本
持續時間: 四月 13 2018四月 17 2018

出版系列

名字Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018

會議

會議4th IEEE International Conference on Applied System Innovation, ICASI 2018
國家日本
城市Chiba
期間4/13/184/17/18

Keywords

  • EMG
  • Physiological monitoring

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Modelling and Simulation
  • Biomedical Engineering

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