웹캠을 이용한 동적 제스쳐 인식 기반의 감성 메신저 구현 및 성능 분석

다국어 초록 (Multilingual Abstract)

In this paper, we propose an emotion messenger which recognizes face or hand gestures of a user using a WebCAM, converts recognized emotions (joy, anger, grief, happiness) to flash-cones, and transmits them to the counterpart. This messenger consists of face recognition module, hand gesture recognition module, and messenger module. In the face recognition module, it converts each region of the eye and the mouth to a binary image and recognizes wink, kiss, and yawn according to shape change of the eye and the mouth. In hand gesture recognition module, it recognizes gawi-bawi-bo according to the number of fingers it has recognized. In messenger module, it converts wink, kiss, and yawn recognized by the face recognition module and gawi-bawi-bo recognized by the hand gesture recognition module to flash-cones and transmits them to the counterpart. Through simulation, we confirmed that CPU share ratio of the emotion messenger is minimized. Moreover, with respect to recognition ratio, we show that the hand gesture recognition module performs better than the face recognition module.

참고문헌 (Reference)

1 김건우, "제스쳐 인식 시스템 설계 및 구현(A Design and Implementation of Gesture Recognition System)" 16 (16): 231-235., 2008

2 고대식, "인스턴트 메신저(Instant Messenger)의 원리 및 응용" 19 (19): 111-120, 2002

3 김건우, "웹캠을 이용한 손동작 인식 방법(A Hand Gesture Recognition Scheme usingWebCAM)" 619-620, 2008

4 정성환, "오픈소스 OpenCV를 이용한 컴퓨터 비전 실무 프로그래밍 기본편" 홍릉과학출판사 2007

5 이원주, "산업공 정상의 유체 유동 모니터링 시스템 설계" 18 (18): 367-370, 2010

6 "http://ko.wikipedia.org/wiki"

7 한국인터넷진흥원, "2006년 하반기 정보화 실태조사 요약보고서" 2007