지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers 한국정보과학회 학술발표논문집 한국정보과학회 2011한국컴퓨터종합학술대회 논문집 제38권 제1호(C)
- 발행연도
- 2011.6
- 수록면
- 405 - 408 (4page)
이용수
초록· 키워드
오류제보하기
In this paper, we propose a robot remote control system based on mouth tracking. The main idea behind the work is to help disabled people who cannot operate a joystick or keyboard to control a robot with their hands. The mouth detection method in this paper is mainly based on the Adaboost feature detection approach. By using the proposed new Haar-like features for detecting the corner of mouth, the speed and accuracy of detection are improved. Combined with the Kalman filter, a continuous and accurate mouth tracking has been achieved. Meanwhile, the gripping commands of the robot manipulator were also achieved by the recognition of the user?s mouth shape, such as 'pout mouth' or 'grin mouth'. To assess the validity of the method, a mouth detection experiment and a robot cargo transport experiment were applied. The result indicated that the system can realize a quick and accurate mouse tracking; and the operation of the robot worked successfully in moving and bringing back items.
목차
Abstract
1. Introduction
2. System Overview
3. Mouth Detection and Tracking
4. Recognition of Mouth Shape
5. Experimental Results
6. Conclusion and Future Work
References
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UCI(KEPA) : I410-ECN-0101-2013-569-000356586