A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application
Loading...
Date
2009-12
Authors
Chan, Lih Yang
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
Computer mouse has been an efficient input device. However, the mouse
usage limits user’s freedom. Besides, the devices are easily contaminated with
bacteria and spreading disease among users. The contactless vision-based hand
gesture recognition is one of the solutions to the freedom and hygiene problem. But it
faces challenges of usability in term of cost and environmental variation like lighting.
This thesis proposes and implements hand gesture recognition methods in image
browsing application, to allow users views pictures contactless from input device in
real time. The lower level of the approach implements the posture recognition with
Viola-Jones object detection method that utilizes Haar-like features and the AdaBoost
learning algorithm. With this algorithm, real-time performance and high recognition
accuracy up to 94% detection rate can be obtained. The application system yield
average of 89% successful input command in a series of evaluation. Moreover, the
application requires only common PC and webcam to address the concern of
deployment cost. To further enhance the speed of hand detection in real-time
application, an idea to reduce the area of search window by incorporating skin colour
segmentation is proposed in this thesis. A reduction of 19% of processing time is
achieved with the proposed method, comparing to the processing time without skin
colour segmentation. In addition, the re-training feature in the application enables
users to update the classifier easily whenever needed.
Description
Keywords
A vision-based human hand gesture recognition interface , for image browsing application