EMG pattern recognition and grasping force estimation: Improvement to the myocontrol of multi-DOF prosthetic hands

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Volumn , Issue , 2009, Pages 516-521

  Yang, Dapeng ^a   Zhao, Jingdong ^a   Gu, Yikun ^a   Jiang, Li ^a   Liu, Hong ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CLASSIFICATION METHODS; ELECTROMYOGRAPHIC SIGNAL; EMG SIGNAL; FORCE SIGNAL; FORCE/TORQUE SENSOR; GRASPING FORCE; HAND GESTURE; MULTI-DOF; MUSCLE CONTRACTIONS; MYOELECTRIC SIGNALS; PREDICTION ACCURACY; PROSTHETIC HANDS; REGRESSION RELATIONSHIP; TRAINING SAMPLE; WEIGHTED PROJECTION;

INTELLIGENT ROBOTS; MUSCLE; PATTERN RECOGNITION; PROSTHETICS; SENSORS; SUPPORT VECTOR MACHINES;

NEURAL NETWORKS;

EID: 76249127919     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2009.5354544     Document Type: Conference Paper

References (19)

1. "OttoBock-SensorHand Speed." [Online]. Available: www.ottobock.com
2. L. Biagiotti, F. Lotti, C. Melchiom, and G. Vassura, "Mechatronics Design of Innovative Fingers for Anthropomorphic Robot Hands," in Proc. 2003 IEEE International Conference on Robotics and Automation, Taipei, 2003, pp. 3187-3192.
3. M. C. Carrozza, P. Dario, F. Vecchi, S. Roccella, M. Zecca, and E. Sebastiani, "The Cyberhand: on the design of a cybernetic prosthetic hand intended to be interfaced to the peripheral nervous system," in Proc. 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, 2003, vol.3, pp. 2642-2647.
4. "The i-Limb system." [Online]. Available: www.touchbionics.com
5. J. Zhao, Z. Xie, L.i Jiang and H. Cai, "Levenberg-Marquardt Based Neural Network Control for a Five-fingered Prosthetic Hand," in Proc. 2005 IEEE International Conference on Robotics and Automation, Barcelona, 2005, pp. 4482-4487.
6. B. Hudgins, P. Parker, and R. N. Scott, "A new strategy for multifunction myoelectric control," IEEE Trans. Biomedical Engineering, vol. 40, Jan.1993, pp. 82-94.
7. K. Englehart, B. Hudgins, and Philip A. Parker, "A Wavelet-Based Continuous Classification Scheme for Multifunction Myoelectric Control," IEEE Trans. Biomedical Engineering, vol. 48, March 2001, pp. 302-311.
8. M. C. Carrozza, B. Massa, S. Micera, R. Lazzarini, M. Zecca, and P. Dario, "The development of a novel prosthetic hand-ongoing research and preliminary results," IEEE/ASME Transactions on Mechatronics, vol. 7, no. 2, 2002, pp. 108-114.
9. K. Englehart and B. Hudgins, "A Robust Real-Time Control Scheme for Multifunction Myoelectric Control," IEEE Trans. Biomedical Engineering, vol. 50, July 2003, pp. 848-854.
10. P. Shenoy, K. J. Miller, B. Crawford, and R. P. N. Rao, "Online Electromyographic Control of a Robotic Prosthesis," IEEE Trans. Biomedical Engineering, vol. 55, March 2008, pp. 1128-1135.
11. Y. Huang, K. B. Englehart, B. Hudgins and A. D. C. Chan, "A Gaussian Mixture Model Based Classification Scheme for Myoelectric Control of Powered Upper Limb Prostheses," IEEE Trans. Biomedical Engineering, vol. 52, November 2005, pp. 1801-1811.
12. S. Bitzer and P. van der Smagt, "Learning EMG control of a robotic hand: Towards active prostheses," in Proc. of ICRA, International Conference on Robotics and Automation, Orlando, Florida, USA, May 2006, pp. 2819-2823.
13. C. Castellini and P. Smagt, "Surface EMG in advanced hand prosthe-tics," Biological Cybernetics, vol. 100, 2009, pp. 35-47.
14. S. Shimizu, M. Shimojo, and S. Sato, "The Relationship between Human Grip Types and Force Distribution Pattern in Grasping," in Proc. 8th International Conference on Advanced Robotics, Monterey, CA, 1997.
15. H. Huang, L. Jiang, D. Zhao, J. Zhao, H. Cai, H. Liu, P. Meusel, B. Willberg, and G. Hirzinger, "The development on a new biomechatronic prosthetic hand based on under-actuated mechanism," in Proc. 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006, pp. 3791-3796
16. "Otto Bock MYOBOCK 13E200=50 electrodes." [Online]. Available: http://www.ottobock.com/cps/rde/xchg/ob-us-en/hs.xsl/16573.html
17. J. N. Pires, J. Ramming, S. Rauch and R. Araujo, "Force/torque sensing applied to industrial robotic deburring", Sensor Review, vol. 22, no. 3, 2002, pp. 232-241.
18. B. E. Boser, I. M. Guyon, and V. N. Vapnik, "A training algorithm for optimal margin classifiers," in Proc. 5th Annual ACM Workshop on Computational Learning Theory, D. Haussler, Ed. ACM press, 1992, pp. 144-152.
19. Martin T. Hagan and Mohammad B. Menhaj, "Training feedforward networks with the Marquardt Algorithm," IEEE Trans. Neural Network, vol. 5, no. 6, Nov. 1994, pp. 989-993.