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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지
DOI QR코드

DOI QR Code

A Novel EMG-based Human-Computer Interface for Electric-Powered Wheelchair Users with Motor Disabilities

거동장애를 가진 전동휠체어 사용자를 위한 근전도 기반의 휴먼-컴퓨터 인터페이스

  • Published : 2005.01.01
Download PDF
⟨ Previous Next ⟩

Abstract

Electromyogram (EMG) signal generated by voluntary contraction of muscles is often used in rehabilitation devices because of its distinct output characteristics compared to other bio-signals. This paper proposes a novel EMG-based human-computer interface for electric-powered wheelchair users with motor disabilities by C4 or C5 spine cord injury. User's commands to control the electric-powered wheelchair are represented by shoulder elevation motions, which are recognized by comparing EMG signals acquired from the levator scapulae muscles with a preset double threshold value. The interface commands for controlling the electric-powered wheelchair consist of combinations of left-, right- and both-shoulders elevation motions. To achieve a real-time interface, we implement an EMG processing hardware composed of analog amplifiers, filters, a mean absolute value circuit and a high-speed microprocessor. The experimental results using an implemented real-time hardware and an electric-powered wheelchair showed that the EMG-based human-computer interface is feasible for the users with severe motor disabilities.

Keywords

References

  1. H. Schmidl, 'The INAIL-CECA prostheses', Centro Protesi INAIL di Budrio, 1983
  2. R. Sorbye, 'Myoelectric controlled hand prostheses in children, clinical consultations', Proc. 2nd European Conf. Rehabilitation International, 1978
  3. M. Nader, 'The substitution of missing hands with myoelectric prostheses', Clin. Orthop. Related Res., 9-17 1990
  4. B. Claudio, D. Angelo, F. Cesare, S. Rinaldo, and S. Terenzi, 'Automatic tuning of myoelectric prostheses', Journal of Rehabilitation Research and Development, vol. 35, no. 3, pp. 294-304,1998
  5. D. Nishikawa, W. Yu, H. Yokoi, and Y. Kakazu, 'EMG prosthetic hand controller using real-time learning method', Proc. of IEEE Int'l Conf. Systems, Man and Cybernetics, 1999 https://doi.org/10.1109/ICSMC.1999.814077
  6. H. Huang and C. Chiang, 'DSP-Based controller for a multi-degree prosthetic hand', Proc. of IEEE Int'l Conf. Robotics and Automation, pp. 1378-1383,2000 https://doi.org/10.1109/ROBOT.2000.844790
  7. S. Schulz, C. Pylatiuk, and G. Bretthauer, 'A new ultralight anthropomorphic hand', Proc of Int'l Conf. Robotics and Automation, 2001 https://doi.org/10.1109/ROBOT.2001.932988
  8. D. J. Kim, W. K. Song, and Z. Bien, 'Effective intention reading in rehabilitation robots', Proc. of 2nd Int'l Workshop on Human-friendly Welfare Robotic Systems, pp. 179-184, 2001
  9. I. Moon, S. Joung, and Y. Kum, 'Safe and reliable intelligent wheelchair robot with human robot interaction', PIVC. of IEEE Int'l Conf. on Robotics and Automation, 2002
  10. R. Simpson and S. Levine, 'Voice control of a powered wheelchair', IEEE Trans. Neural Systems and Rehabilitation Engineering, vol. 10, no. 2, 2002 https://doi.org/10.1109/TNSRE.2002.1031981
  11. A. Barreto, S. Scargle, and M. Adjouadi, 'A practical EMG-based human-computer interface for users with motor disabilities', Journal of Rehabilitation Research and Development, vol. 37, no. 1, 2000
  12. L. Kirup, A. Searle, A. Craig, P. Mclsaac, and P. Moses, 'EEG-based system for rapid on-off switching without prior learning', Medical and Biological Engineering and Computing, vol. 35, pp. 504-509,1997 https://doi.org/10.1007/BF02525531
  13. J. Gips and P. Oliviere, 'EagleEyes: An eye control system for persons with disabilities', Proc. of int'l Cong. Technology and Persons with Disabilities, 1996
  14. http://www.ottobock.com
  15. C. J. De Luca, 'Surface electromyography: detection and recording', Delsys Incorporated, 2002
  16. C. J. De Luca, 'The use of surface electromyography in biomechanics', Journal of Applied Biomechanics, vol. 13, no. 2, pp. 135-163, 1997
  17. http://www.delsys.com
  18. E. Kevin and H. Bernard, 'A robust, real-time control scheme for multifunction myoelectric control', IEEE Trans. Biomedical Engineering, vol. 50, no. 7, 2003 https://doi.org/10.1109/TBME.2003.813539
  19. J. U. Chu, I. H. Moon, G.W. Choi, J. C. Ryu, and M. S. Mun, 'Design of BLDC motor controller for electric power wheelchair', Proc. of IEEE Int'l Conf. on Mechatronics, 2004 https://doi.org/10.1109/ICMECH.2004.1364418