Manipulation of robot hand based on motion estimation using EMG signals

Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C

Volumn 73, Issue 11, 2007, Pages 3024-3030

  Kitamura, Toru ^a   Tsujiuchi, Nobutaka ^b   Koizumi, Takayuki ^b  

^a DOSHISHA UNIVERSITY   (Japan)

^b NONE

Author keywords

Bio mimetics; EMG; Human interface; Joint angle; Pattern recognition; Prosthesis

Indexed keywords

BIOMIMETICS; CONTROL SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION; REGRESSION ANALYSIS;

EMG SIGNALS; HUMAN INTERFACE; JOINT ANGLE;

MOBILE ROBOTS;

EID: 39149110240     PISSN: 03875024     EISSN: None     Source Type: Journal    
DOI: 10.1299/kikaic.73.3024     Document Type: Article

References (13)

1. Alsayegh, O. A. and Brzakovic, D.P., Guidance of Video Data Acquisition by Myoelectric Signals for Smart Human-Robot Interfaces, Proceedings of the 1998 IEEE International Conference on Robotics and Automation, Vol. 1998, No.4 (1998) pp.3179-3185.
2. Muzumdar, A. ed., Powered Upper Limb Prostheses, (2004), pp. 1-208, Springer.
3. Kutz, M. ed., Standard Handbook of Biomedical Engineering and Design, (2003), pp.32.1-32.61, McGraw-Hill.
4. Nishikawa, D., Wenwei, Y., Yokoi, H. and Kakazu, Y., On-Line Learning Method for EMG Prosthetic Hand Controlling, Transactions of the Institute of Electronics, Information and Communication Engineers, D-2, Information and Systems 2, Vol.82, No.9 (1999), pp.1510-1519.
5. Tsuji, T., Shigeyoshi, H., Fukuda, O. and Kaneko, M., Bio-mimetic Control of An Externally Powered Prosthetic Forearm Based on EMG Signals, Transactions of the Japan Society of Mechanical Engineers, Series C, Vol.66, No.648 (2000), pp.2764-2771.
6. Englehart, K., Hudgins, B. and Parker, P.A, A Wavelet Based Continuous Classification Scheme for Multifunction Myoelectric Control, IEEE Transactions on Biomedical Engineering, Vol.48, No.3 (2001), pp.302-311.
7. Englehart, K. and Hudgins, B., A Robust, Real Time Control Scheme for Multifunction Myoelectric Control, IEEE Transactions on Biomedical Engineering, Vol.50, No.7 (2003), pp.848- 854.
8. Hudgins, B., Parker P. and Scott, R. N., A New Strategy for Multifunction Myoelectric Control, IEEE Transactions on Biomedical Engineering, Vol.40, No.1 (1993), pp.82-94.
9. Chu, J. U., Moon, I. and Mun, MS., A Real-Time EMG Pattern Recognition System Based on Linear-Nonlinear Feature Projection for a Multifunction Myoelectric Hand, IEEE Transactions on Biomedical Engineering, Vol.53, No.11 (2006), pp.2232-2239.
10. Farry,K. A., Walker, I. D. and Baraniuk, R.G., Myoelectric Teleoperation of a Complex Robotic Hand, IEEE Transactions Robotics and Automation, Vol.12, No.5 (1996), pp.775-788.
11. Uchida, M., Ide, R and Yokoyama, S., Robot of Hand and Finger Motion using EMG, National Convention Record I.E.E. Japan, Vol.118-A, No.3 (1998), pp.204-209.
12. Hiraiwa, A., Uchida, N., Shimohara, K. and Sonehara, N., EMG Recognition with a Neural Network Model for Cyber Finger Control, Transactions of the Society of Instrument and Control Engineers, Vol.30, No.2 (1994), pp.216-224.
13. Merita, S., Shibata, K. Zheng, X. Z. and Ito, K., Human-EMG Prosthetic Hand Interface Using Neural Network, IEICE Technical Report, Vol.99, No.688 (2000), pp.37-42.