Real-time classification of electromyographic signals for robotic control

Proceedings of the National Conference on Artificial Intelligence

Volumn 2, Issue , 2005, Pages 523-528

  Crawford, Beau ^a   Miller, Kai ^a   Shenoy, Pradeep ^a   Rao, Rajesh ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DESIGN DECISIONS; EMG SIGNALS; ROBOTIC CONTROL;

DECISION MAKING; ELECTROMYOGRAPHY; ONLINE SYSTEMS; REAL TIME SYSTEMS; ROBOTICS; SIGNAL PROCESSING;

ARTIFICIAL INTELLIGENCE;

EID: 29344446419     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Chang, C.-C, and Lin, C.-J. 2001. LIBSVM: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.
2. Deluca, C. 1997. Surface electromyography detection and recording. In Neuromuscular Research Center, Boston University.
3. Engelhart, K.; Hudgins, B.; Parker, P.; and Stevenson, M. 1999. Classification of the myoelectric Signal using time-frequency based representations. In Medical Engg. and Physics, volume 21, 431-438.
4. Eriksson, L.; Sebelius, F.; and Balkenius, C. 1998. Neural control of a virtual prosthesis. In ICANN.
5. Graupe, D., and Cline, W. 1975. Functional separation of EMG signals via ARMA identification methods for prosthesis control purposes. In IEEE Trans. Systems Man and Cybernetics, volume 5, 252-259.
6. Hsu, C.-W., and Lin, C.-J. 2002. A comparison of methods for multi-class support vector machines. In IEEE Trans. Neural Networks., volume 13, 415-425.
7. Ju, P.; Kaelbling, L.; and Singer, Y. 2000. State-based classification of finger gestures from electromyographic signals. In ICML.
8. Nishikawa, D.; Yu, W.; Yokoi, H.; and Kakazu, Y. 1999. Emg prosthetic hand controller discriminating ten motions using real-time learning method. In IEEE/RSJ IROS.
9. Scholkopf, B., and Smola, A. 2002. Learning with Kernels: Support vector machines, regularisation, optimization and beyond. MIT Press, Cambridge MA.