Brain-computer interface for a prosthetic hand using local machine control and haptic feedback

Ander Ramos Murguialday, Vikram Aggarwal, Aniruddha Chatterjee, Yoonju Cho, Robert Rasmussen, Brandon O'Rourke, Soumyadipta Acharya, Nitish V. Thakor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Scopus citations

Abstract

A Brain-Computer Interface (BCI) uses electrophysiological measures of brain function to enable individuals to communicate with the external world, bypassing normal neuromuscular pathways. While it has been suggested that this control can be applied for neuroprostheses, few studies have demonstrated practical BCI control of a prosthetic device. In this paper, an electroencephalogram (EEG)-based motor imagery BCI is presented to control movement of a prosthetic hand. The hand was instrumented with force and angle sensors to provide haptic feedback and local machine control. Using this system, subjects demonstrated the ability to control the prosthetic's grasping force with accuracy comparable to an EMG-based control scheme. Further work is necessary to improve the integration of BCI control strategies with prostheses.

Original languageEnglish (US)
Title of host publication2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07
Pages609-613
Number of pages5
DOIs
StatePublished - 2007
Event2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07 - Noordwijk, Netherlands
Duration: Jun 12 2007Jun 15 2007

Publication series

Name2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07

Other

Other2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07
Country/TerritoryNetherlands
CityNoordwijk
Period6/12/076/15/07

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Brain-computer interface for a prosthetic hand using local machine control and haptic feedback'. Together they form a unique fingerprint.

Cite this