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Dynamic Gesture Recognition for the Remote Camera Robot Control  

Lee Ju-Won (경상대학교 공학연구원 자동차 컴퓨터연구센터)
Lee Byung-Ro (진주산업대학교 전자공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.8, no.7, 2004 , pp. 1480-1487 More about this Journal
Abstract
This study is proposed the novel gesture recognition method for the remote camera robot control. To recognize the dynamics gesture, the preprocessing step is the image segmentation. The conventional methods for the effectively object segmentation has need a lot of the cole. information about the object(hand) image. And these methods in the recognition step have need a lot of the features with the each object. To improve the problems of the conventional methods, this study proposed the novel method to recognize the dynamic hand gesture such as the MMS(Max-Min Search) method to segment the object image, MSM(Mean Space Mapping) method and COG(Conte. Of Gravity) method to extract the features of image, and the structure of recognition MLPNN(Multi Layer Perceptron Neural Network) to recognize the dynamic gestures. In the results of experiment, the recognition rate of the proposed method appeared more than 90[%], and this result is shown that is available by HCI(Human Computer Interface) device for .emote robot control.
Keywords
HCI(Human Computer Interaction) Remote Robot Control; Gesture Recognition, Image Segmentation; Neural Networks;
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