EMG signal classification for myoelectric teleoperating a dexterous robot hand

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 7 VOLS, Issue , 2005, Pages 5931-5933

  Wang, J Z ^a   Wang, R C ^a   Li, F ^a   Jiang, M W ^a   Jin, D W ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Autoregressive; Backpropagation neural network; Dexterous robot hand; Electromyography; EMG signal classification; Prosthesis

Indexed keywords

BACKPROPAGATION; CLASSIFICATION (OF INFORMATION); MATHEMATICAL MODELS; MICROELECTRODES; MOTION PLANNING; NEURAL NETWORKS; PROSTHETICS; ROBOTIC ARMS;

AUTOREGRESSION ANALYSIS; DEXTEROUS ROBOT HAND; EMG SIGNAL CLASSIFICATION;

ELECTROMYOGRAPHY;

EID: 33846897835     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2005.1615841     Document Type: Conference Paper

References (21)

1. S. C. Jacobsen, E. K. Iversen, D. F. Knutti, R. T. Johnson and K. B. Biggers, "Design of the Utah/MIT dexterous hand," in Proc. IEEE Int. Conf. Robotics and Automation, 1986, pp. 1520-1532.
2. K. A. Farry, I. D. Walker and R. G. Baraniuk, "Myoelectric teleoperation of a complex robotic hand," in Proc. IEEE Int. Conf. Robotics and Automation, vol. 12, no. 5, 1996, pp. 775-788.
3. H. Liu, J. Butterfass, S. Knoch, P. Meusel and G. Hirzinger, "A new control strategy for DLR's multisensory articulated hand," IEEE Control systems, vol. 19, no. 2, pp. 47-54, 1999.
4. J. Butterfass, M. Grebenstein, H. Liu and G. Hirzinger, "DLR-Hand II: Next generation of a dexterous robot hand," in Proc. IEEE Int. Conf. Robotics and Automation, vol. 1, 2001, pp. 109-114.
5. X. H. Gao, M. H. Jin, L. Jiang, Z. W. Xie, P. He, et al., "The HIT/DLR dexterous hand: work in progress," in Proc. IEEE Int. Conf. Robotics and Automation, vol. 3, 2003, pp. 3164-3168.
6. P. He, M. H. Jin, L. Yang, R. Wei, Y. W. Liu, et al., "High performance DSP/FPGA controller for implementation of HIT/DLR dexterous robot hand," in Proc. IEEE Int. Conf. Robotics and Automation, 2004, pp. 3397-3402.
7. H. Y. Hu, X. H. Gao, J. W. Li, J. Wang and H. Liu, "Calibrating human hand for teleoperating the HIT/DLR hand," in Proc. IEEE Int. Conf. Robotics and Automation, 2004, pp. 4571-4576.
8. A. Asres, H. F. Dou, Z. Y. Zhou, Y. L. Zhang and S. C. Zhu, "A combination of AR and neural network technique for EMG pattern identification," in Proc. Ann. Int. Conf. IEEE Eng. Med. Biol. Soc., vol. 4, 1996, pp. 1464-1465.
9. R. C. Wang, C. H. Huang and B. Li, "A neural network-based surface electromyography motion pattern classifier for the control of prostheses," in Proc. Ann. Int. Conf. IEEE Eng. Med. Biol. Soc., vol. 3, 1997, pp. 1275-1277.
10. G. Kitagawa and W. Gersch, "A smoothness priors time-varying AR coefficient modeling of nonstationary covariance time series," IEEE Trans. Automatic Control, vol. 30, no. 1, pp. 48-56, Jan. 1985.
11. K. Kuribayashi, K. Okimura and T. Taniquchi, "A discrimination system using neural network for EMG-controlled prostheses," in Proc. Int. Conf. IEEE Robot and Human Communication, 1992, pp. 63-68.
12. V. Barrero, V. Grisales, F. Rosas, C. Sanchez and J. Leon, "Design and implementation of an intelligent interface for myoelectric controlled prosthesis," in Proc. Ann. Int. Conf. IEEE Eng. Med. Biol. Soc., vol. 4, 2001, pp. 3352-3355.
13. K. Kuribayashi, S. Shimizu, K. Okimura and T. Taniguchi, "A discrimination system using neural network for EMG-controlled prosthesis-integral type of EMG signal processing," in Proc. Int. Conf. IEEE Intelligent Robots and Systems, 1993, pp. 1750-1755.
14. T. Khoshaba, K. Badie and R. M. Hashemi, "EMG pattern classification based on back propagation neural network for prosthesis control," in Proc. Ann. Int. Conf. IEEE Eng. Med. Biol. Soc., 1990, pp. 1474-1475.
15. A. Hiraiwa, K. Shimohara and Y. Tokunaga, "EMG pattern analysis and classification by neural network," in Proc. Int. Conf. IEEE Systems, Man and Cybernetics, vol. 3, 1989, pp. 1113-1115.
16. R. Knox and D. H. Brooks, "Classification of multifunction surface EMG using advanced AR model representations," in Proc. Ann. Conf. Northeast Bioeng., 1994, pp. 96-98.
17. F. H. Y. Chan, Y. S. Yang, F. K. Lam, Y. T. Zhang and P. A. Parker, "Fuzzy EMG classification for prosthesis control," IEEE Trans. Rehabil Eng., vol. 8, no. 3, pp. 305-311, Sep. 2000.
18. A. D. C. Chan and K. B. Englehart, "Continuous myoelectric control for powered prostheses using hidden Markov models," IEEE Trans. Biomed. Eng., vol. 52, no. 1, pp. 121-124, Jan. 2005.
19. H. P. Huang and C. Y. Chen, "Development of a myoelectric discrimination system for a multi-degree prosthetic hand," in Proc. IEEE Int. Conf. Robotics and Automation, vol. 3, 1999, pp. 2392-2397.
20. N. Uchida, A. Hiraiwa, N. Sonehara and K. Shimohara, "EMG pattern recognition by neural networks for multi fingers control," in Proc. Ann. Int. Conf. IEEE Eng. Med. Biol. Soc., vol. 3, 1992, pp. 1016-1018.
21. D. Peleg, E. Braiman, E. Yom-Tov and G. F. Inbar, "Classification of finger activation for use in a robotic prostheses arm," IEEE Trans. Rehabil. Eng., vol. 10, no. 4, pp. 290-293, Dec. 2002.