Browse > Article

A Study on Hand-signal Recognition System in 3-dimensional Space  

장효영 (한국과학기술원 전자전산학과 전기 및 전자공학)
김대진 (한국과학기술원 전자전산학과 전기 및 전자공)
김정배 (삼성종합기술원 HCI Lab)
변증남 (한국과학기술원 전자전산학과 전기 및 전자공학)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.41, no.3, 2004 , pp. 103-114 More about this Journal
Abstract
This paper deals with a system that is capable of recognizing hand-signals in 3-dimensional space. The system uses 2 color cameras as input devices. Vision-based gesture recognition system is known to be user-friendly because of its contact-free characteristic. But as with other applications using a camera as an input device, there are difficulties under complex background and varying illumination. In order to detect hand region robustly from a input image under various conditions without any special gloves or markers, the paper uses previous position information and adaptive hand color model. The paper defines a hand-signal as a combination of two basic elements such as 'hand pose' and 'hand trajectory'. As an extensive classification method for hand pose, the paper proposes 2-stage classification method by using 'small group concept'. Also, the paper suggests a complementary feature selection method from images from two color cameras. We verified our method with a hand-signal application to our driving simulator.
Keywords
hand-signal; gesture recognition; small group concept;
Citations & Related Records
연도 인용수 순위
  • Reference
1 V.I. Pavlovic, R. Sharma, T.S. Huang, 'Visual interpretation of hand gestures for human-computer interaction,' IEEE Trans. PAMI, 19(7):677-695, 1997   DOI   ScienceOn
2 J. Triesch and C.von der Malsburg, 'A gesture interface for human-robot-interaction,' Proc. of the 3rd Int. Conf. Automatic Face and Gesture Recognition, Nara, Japan, pp. 546-551, 1998   DOI
3 T. Starner, J. Wieaver, and A. Pentland, 'Real-time american sign language recognition using desk and wearable computer based video,' IEEE Trans. PAMI, 20(12):1371-1375, 1998   DOI   ScienceOn
4 Carlos, R. P. Dionisio, Ronberto M. Cesar J.R. 'A Project for Hand Gesture Recognition,' Proc. of the XIII Brazilian Symposium on Computer Graphics and Image Processing, 2000   DOI
5 R. C. Gonzalez and R. E. Woods, Digital Image Processing, p. 228, Addison-Wesley, 1992
6 F. Quek, 'Toward a vision-based hand gesture interface,' Proc. of the Virtual Reality Software and Technology Conference, pp. 17-31, 1994
7 T. K. Moon, 'The Expectation-Maximization Algorithm,' IEEE Trans. Signal Processing, 1996   DOI   ScienceOn
8 L. R. Ribiner, 'A tutorial on hidden Markov models and selected applications in speech recognition,' Proc. of the IEEE, no. 77, pp. 257-286, 1989   DOI   ScienceOn
9 X. Zhu, J. Yang, A. Waibel, 'Segmenting lands of arbitrary color,' Proc. of the 4th Int'I Conf. on Automatic Face and Gesture Recognition, pp. 446-453, 2000   DOI
10 장효영 외, '의사 결정 트리를 이용한 수신호 인식 시스템에 대한 연구,' 정보과학회 HCI 2002 학술대회, 2002
11 William T. Freeman, Craig D. Weissman, 'Television Control by Hand Gestures,' IEEE Intl. Workshop on Automatic Face and Gesture Recognition, 1995
12 이현규, 김호연, 김진형, '은닉 마르코프 모델 기반 손 제스처 적출을 위한 임계치 모델,' 정보과학회논문지(B), 제25권 1호, 150, 1998
13 X. D. Huang, Y. Arlki, M. A. Jack, 'Hidden Markov Models for Speech Recognition,' Edinburgh Univ. Press, 1990
14 김영순, '신체언어 커뮤니케이션의 기호학,' 커뮤니케이션북스 2001