By Topic

Gesture recognition using field programmable gate arrays

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

3 Author(s)
S. M. Alex Raj ; Govt.Engineering College, Department of Technical Education, Govt. of Kerala, India ; G. Sreelatha ; M. H. Supriya

Gesture recognition is a topic of immense interest in the field of computing and image processing involving numerous factors and constraints nevertheless yielding remarkable simplification of various human affairs. In this work, the problem of gesture recognition is narrowed down to that of hand gesture recognition and specifically deals with finger count extraction to facilitate further processing using the control so effected. A hand gesture recognition system has been developed, wherein the finger count in a certain input hand image is computed in accordance with a simple yet effective procedure. The problem of hand gesture recognition is solved by means of adopting a lucid albeit efficient algorithm which has been implemented using the Xilinx System Generator software tool. The algorithm followed is invariant to rotation and scale of the hand. The approach involves segmenting the hand based on skin color statistics and applying certain constraints to classify pixels as skin and non skin regions.

Published in:

Devices, Circuits and Systems (ICDCS), 2012 International Conference on

Date of Conference:

15-16 March 2012