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http://dx.doi.org/10.6109/jkiice.2017.21.7.1349

Fast Hand-Gesture Recognition Algorithm For Embedded System  

Hwang, Dong-Hyun (School of Computer Science and Engineering, Korea University of Technology and Education)
Jang, Kyung-Sik (School of Computer Science and Engineering, Korea University of Technology and Education)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.7, 2017 , pp. 1349-1354 More about this Journal
Abstract
In this paper, we propose a fast hand-gesture recognition algorithm for embedded system. Existing hand-gesture recognition algorithm has a difficulty to use in a low performance system such as embedded systems and mobile devices because of high computational complexity of contour tracing method that extracts all points of hand contour. Instead of using algorithms based on contour tracing, the proposed algorithm uses concentric-circle tracing method to estimate the abstracted contour of fingers, then classify hand-gestures by extracting features. The proposed algorithm has an average recognition rate of 95% and an average execution time of 1.29ms, which shows a maximum performance improvement of 44% compared with algorithm using the existing contour tracing method. It is confirmed that the algorithm can be used in a low performance system such as embedded systems and mobile devices.
Keywords
Hand Gesture Recognition; Human-Computer Interaction; Computer Vision; Embedded System;
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Times Cited By KSCI : 1  (Citation Analysis)
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