By Topic

Vision based human-machine interface via hand gestures

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 $13
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)
Norbert Berci ; Faculty of Information Technology Péter Pázmány Catholic University Práter u. 50/A, 1083 Budapest, Hungary ; Peter Szolgay

There is a great need for alternative human-machine interfaces in several application areas. In the current paper we present the first stage of a hand gesture recognition system with the primary purpose of replacing classical input peripherals like the mouse and the keyboard. The system works by visual input and the processing has been implemented on the cellular neural/nonlinear network paradigm based Bi-i visual processing architecture. Its properties, most notably the real-time performance, allows it to be used for security, military, medical, surgery and public media applications as well.

Published in:

Circuit Theory and Design, 2007. ECCTD 2007. 18th European Conference on

Date of Conference:

27-30 Aug. 2007