Real-time learning method for adaptable motion-discrimination using surface EMG signal

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2006, Pages 2127-2132

  Kato, Ryu ^a   Yokoi, Hiroshi ^a   Arai, Tamio ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

EMG; F MRI; Motion discrimination

Indexed keywords

DATA REDUCTION; MAGNETIC RESONANCE IMAGING; MOTION CONTROL;

DISCRIMINATION RATES; MOTION DISCRIMINATION; REAL TIME LEARNING METHODS;

LEARNING SYSTEMS;

EID: 34250647363     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2006.282492     Document Type: Conference Paper

References (7)

1. K.A.Farry, "Myoeleotric teleportation of a complex robotic hand," IEEE Trans. Robotics and Automation, vol. 12, no. 5, pp. 775-778, Oct 1996.
2. H. Yamaguchi, "EMG Automatic Switch for FES control for Hemiplegics using Artificial Neural Network", Intelligent Autonomous Systems, pp.339-346, 2000.
3. T. Tsuji, "Discriminating of Forearm Motions from EMG Signals by Error Back Propagation Typed Neural Network Using Entropy", Trans. Of the Society of Instrument and Control Engineers, 29, 10, pp.1213-1220, 1993, (in Japanese)
4. D. Nishikawa, "On-line Learning Based Electromyogram to Forearm Motion Classifier with Motor Skill Evaluation," JSME International Journal, vol.43, no.4, series C, pp.906-915, Dec. 2000.
5. D. R. J. Laming, "Information Theory of Choice Reaction Times", Academic Press, London, 1968.
6. T. Kohonen, "Self-Organization and Associative Memory", Springer-Verlag, 1984.
7. Hiraiwa K., "EMG Pattern Analysis and Classification by Neural Network," 1999 IEEEInternat. Cong. On Systems, Man, and Cybernetics, Cambridge,Nov. 1999, pp. 1113-1115.