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.
초록· 키워드
오류제보하기
This paper proposes methods for detecting hands and fingertips using depth data acquired by a 3D time of flight (TOF) camera. This camera was located below the hands, facing them. We can recognize hand gesture to use the z-axis distance difference between two hands from the 3D camera and the number of hands and fingers. Result of controlling a car racing game using our suggested algorithm shows 96 % accuracy of five hand postures. Our detection system of hands and fingertips is more accurate and less sensitive illumination than other hand detection systems, so our hand gesture system will be useful in new user interfaces to gives users immersion and reality.
목차
Abstract
1. INSTRUCTIONS
2. DEPTH DATA
3. HAND DETECTION
4. Fingertip detection
5. Hand gesture recognition
6. EXPERIMENTAL RESULT
7. CONCLUSION
References
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