Hand movement recognition based on biosignal analysis

Engineering Applications of Artificial Intelligence

Volumn 22, Issue 4-5, 2009, Pages 608-615

  Wojtczak, Pawel ^a   Amaral, Tito G ^b,c   Dias, Octavio P ^b,d   Wolczowski, Andrzej ^a   Kurzynski, Marek ^a  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

^b INSTITUTO POLITÉCNICO DE SETÚBAL   (Portugal)

^c UNIVERSITY OF COIMBRA   (Portugal)

^d INESC   (Portugal)

Author keywords

Electromyography; EMG signal classification; Hand movement recognition; Linear neural network; Prosthesis

Indexed keywords

BIOSIGNAL; CLASSIFICATION SYSTEM; ELECTROMYOGRAPHIC SIGNAL; EMG SIGNAL; EMG SIGNAL CLASSIFICATION; FINGER MOTION; HAND MOVEMENT; HAND MOVEMENT RECOGNITION; KEY PROBLEMS; LINEAR NEURAL NETWORK; MYOELECTRIC SIGNALS; PROCESSING APPROACH; PROSTHESIS; SURFACE ELECTRODE;

ELECTROMYOGRAPHY; NEURAL NETWORKS; SIGNAL PROCESSING;

MYOELECTRICALLY CONTROLLED PROSTHETICS;

EID: 67349260506     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2008.12.004     Document Type: Article

References (17)

1. Amaral, T., Dias, O., Prociow, P., Wolczowski, A., Filipe, J., 2008. Identification of hand movements based on MMG and EMG signals. In: Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, pp. 534-539.
2. Asres, A., Dou, H.F., Zhou, Z.Y., Zhang, Y.L., Zhu, S.C., 1996. A combination of ar and neural network technique for EMG pattern identification. In: Proceedings of the Annual International Conference on IEEE Engineering in Medicine and Biology Society, vol. 4, pp. 1464-1465.
3. Au, S.K., Bonato, P., Herr, H., 2005. An EMG-position controlled system for an active ankle-foot prothesis: an initial experimental study. In: Proceedings of the International Conference on Rehabilitation Robotics, pp. 375-379.
4. Bagnoli-4 EM System User manual, 2003, DELSYS 〈www.delsys.com〉.
5. Barrero, V., Grisales, V., Rosas, F., Sanchez, C., Leon, J., 2001. Design and implementation of an intelligent interface for myoelectric controlled prosthesis. In: Proceedings of the IEEE International Conference on Engineering in Medicine and Biology Society, vol. 4, pp. 3352-3355.
6. Cheron G., Draye J.-P., and Bourgeios M. A dynamic neural network identification of electromyography and trajectory relationship during complex movements. IEEE Trans. Biomed. Eng. 43 (1996) 552-558
7. Hirawa, A., Shimohara, K., Tokunaga, Y., 1989. EMG pattern analysis and classification by neural network. In: Proceedings of the IEEE International Conference on IEEE Systems, Man and Cybernetics, vol. 3, pp. 1113-1115.
8. Khoshaba, T., Badie, K., Hashemi, R.M., 1990. EMG pattern classification based on back propagation neural network for prosthesis control. In: Proceedings of the IEEE International Conference on Engineering in Medicine and Biology Society, pp. 1474-1475.
9. Knox, R., Brooks, D.H., 1994. Classification of multifunction surface EMG using advanced ar model representations. In: Proceedings of the Annual Conference on Northeast Bioengineering, pp. 96-98.
10. Kristin A.F., Ian D.W., and Richard G.B. Myoelectric teleoperation of a complex robotic hand. IEEE Trans. Robotics Autom. 12 (1996) 775-787
11. Kuribayachi, K., Okimura, K., Taniquichi, T., 1992. A discrimination system using neural network for EMG-controlled prostheses. In: Proceedings of the International Conference on IEEE Robot and Human Communication, pp. 63-68.
12. Kuribayachi, K., Shimuzu, S., Okimura, K., Taniquichi, T., 1993. A discrimination system using neural network for EMG-controlled prostheses-integral type of EMG signal processing. In: Proceedings of the IEEE International Conference on Intelligent Robots and Systems, pp. 1750-1755.
13. Lee J.-W., and Lee G.-K. Gait angle prediction for lower limb orthotics and prostheses using an EMG signal and neural networks. Int. J. Control Autom. System 3 (2005) 152-158
14. Mathwork Matlab 2006a. Documentation, 2006. Natick, MA, Mathworks 〈www.mathworks.com〉.
15. National Instruments, NI 4477 User Manual, 2003 〈www.ni.com〉.
16. Reaz, M.B.I., Hussain, M.S., Yasin, M.F., 2006. Techniques of EMG Signal Analysis: Detection, Processing, Classification and Applications, Biological Procedures Online.
17. Wolczowski, A., Krysztoforski, K., 2002. Control-measurement circuit of myoelectric prosthesis hand. 4 (Supplement 1), 576-577; Proceedings of 13th Conference of the European Society of Biomechanics, Wroclaw, Poland, September, 2002.