By Topic

Hand gesture recognition system using depth data

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
$31 $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)
Ting Wan ; Dept. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China ; Yujun Wang ; Junke Li

Ongoing efforts at our laboratory aim at establishing a gesture recognition system to control the movement of mobile robot The proposed work is recognizing several predefined gestures by using a sequence of depth images which obtain from Kinect We present a new method to recognize hand gesture including five main steps: gestures segmentation, feature extraction and matching, establish 3D coordinate, trajectory extraction and classification. Experimental results are shown that the system can be used to effectively control the movement of the mobile robot.

Published in:

Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on

Date of Conference:

21-23 April 2012