By Topic

Communication aid for disabled patients makes use of facial EMG signals and neural nets

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
J. Dinsdale ; Dundee Univ., UK ; D. K. Chadwick

This paper describes the development of hardware and software to enable patients disabled by paralysis, and others with difficulties in speaking, to carry out meaningful communication by means of the intelligent analysis and interpretation of information derived from electromyogram (EMG) signals generated by facial muscles

Published in:

Mechatronic Aids for the Disabled, IEE Colloquium on

Date of Conference:

17 May 1995