Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Navigation of a Mobile Robot Using Hand Gesture Recognition

손 동작 인식을 이용한 이동로봇의 주행

  • Kim, Il-Myeong (Dept.of Electronics Engineering, Busan National University) ;
  • Kim, Wan-Cheol (Dept.of Electronics Engineering, Busan National University) ;
  • Yun, Gyeong-Sik (Dept.of Electronics Engineering, Busan National University) ;
  • Lee, Jang-Myeong (Dept.of Electronics Engineering, Busan National University)
  • Published : 2002.07.01
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Abstract

A new method to govern the navigation of a mobile robot using hand gesture recognition is proposed based on the following two procedures. One is to achieve vision information by using a 2-DOF camera as a communicating medium between a man and a mobile robot and the other is to analyze and to control the mobile robot according to the recognized hand gesture commands. In the previous researches, mobile robots are passively to move through landmarks, beacons, etc. In this paper, to incorporate various changes of situation, a new control system that manages the dynamical navigation of mobile robot is proposed. Moreover, without any generally used expensive equipments or complex algorithms for hand gesture recognition, a reliable hand gesture recognition system is efficiently implemented to convey the human commands to the mobile robot with a few constraints.

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References

  1. D. J. Gavria, 'The visual analysis of human movement: A survey,' IDEAL Computer Vision and Image Understanding, vol. 73, no. I, pp. 82-98, January. 1999 https://doi.org/10.1006/cviu.1998.0716
  2. B. W. Min, 'Gesture recognition and application,' The Magazine of the IEEK, vol 2. no. 8, pp. 704-711, June, 1996
  3. T. S. Hunang and V. I. Pavloic, 'Hand gesture modeling, analysis, and synthesis.' Proc. of International Workshop on Automatic Face-and Gesture-Recognition, pp. 73-79, Zurich, June, 1995
  4. Jhon. J. Leonard and Hugh F, Durrant-Whyte, 'Mobile robot localization by tracking geometric beacons,' IEEE Trans. Robotics and Automation, vol. 7, no. 3, pp. 376-382, June 1991 https://doi.org/10.1109/70.88147
  5. M. Betke et al., 'Mobile robot localization using landmarks,' Proc. of the IEEE/RSJ/GI Int. Conf. on Intelligent Robots and Systems, pp. 135-142, 1994
  6. J. Davis and M. Shah, 'Visual gesture recognition,' IEE Proc-Vis Image Signal Process. vol. 141, no. 2, April 1994 https://doi.org/10.1049/ip-vis:19941058
  7. T. Ahmade, C. J. Taylor, A.Lanitis, and T.F.Cootes, 'Tracking and recognising hand gestures, using shape models,' ELSEVIER. Image and Vision Computing, vol. 15,pp. 345-352,1997 https://doi.org/10.1016/S0262-8856(96)01136-5
  8. Yilin. Zhao and Spencer L. BeMent, 'Kinematics, Dynamics and Control of Wheeled Mobile Robots,' IEEE Conf. Robotics and Automation, pp. 91-96, 5. 1992 https://doi.org/10.1109/ROBOT.1992.220329
  9. F. L. Lewis, C. T. Abdallah, and D. M. Dawson, Control of Robot Manipulators, Macmillan, 1993
  10. Robert M. Haralick and Linda G. Shapiro, Computer and Robot Vision, Addison-Wesley, 1993
  11. I. Pitas, Digital Image Processing Algorithms and Applications, JOHN WILEY & SONS, 1999
  12. Milan Sonka, Vaclav Hlavac, and Roger Boyle, Image Processing, Analysis and Machine Vision CHAPMAN & HALL COMPUTING 1993
  13. Gerhard X. Ritter, Joseph N. Wilson Computer Vision Algorithms in Image Algebra CRC 2000
  14. C. Stiller and J. Konarad, 'Estiamting motion in image sequences: A tutorial on modeling and computation of 20 motion,' IEEE Singal Processing Magazine, pp. 1053-5888, 1998 https://doi.org/10.1109/79.774934
  15. Vladimir I. Pavlovic, Rajeev Sharma and Thomas S. Huang, 'Visual interpretation of hand gestures for human-computer interaction: A review, I' IEEE Trans. on Pattern Analysis and machine Intelligence, vol. 18, no. 7, July 1997 https://doi.org/10.1109/34.598226
  16. 김성은, 조강현, '얼굴 방향과 손동작 인식을 통한 Agent간의 상호작용,' 한국자동제어학술회의논문집(KACC), pp. b132-b135, 1999

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