Control of a Two-DOF Prosthetic Hand by Upper Limb Joint Angles and EMG Signal

  • Wen Tao Sun*
  • , Hao Tian She
  • , Xin Li
  • , Jin Ying Zhu
  • , Yin Lai Jiang
  • , Yokoi Hiroshi
  • , Qiang Huang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The EMG signal is affected by air humidity, sweat, and many other factors, therefore, it is not stable for long time usage. To cope with this shortage, EMG based prosthetic hands available in the market are usually controlled by the on/off strategy. However, this strategy is not sophisticated for controlling prosthetic hands with multi-DOFs. Kinematics information is frequently used in controlling lower limb prostheses instead of upper limb ones because of the object-oriented feature of the motion of the upper limb. In this paper, we propose a control strategy which identifies the fetching motion of the user from his/her shoulder joint. An experiment is conducted to show the stability and easy-use of the proposed strategy in comparison with the on/off strategy.

Original languageEnglish
Pages (from-to)667-675
Number of pages9
JournalZidonghua Xuebao/Acta Automatica Sinica
Volume44
Issue number4
DOIs
Publication statusPublished - Apr 2018

Keywords

  • Myoelectric signal processing
  • Pattern recognition
  • Prosthesis control
  • Shoulder joint angle

Fingerprint

Dive into the research topics of 'Control of a Two-DOF Prosthetic Hand by Upper Limb Joint Angles and EMG Signal'. Together they form a unique fingerprint.

Cite this