Hand motion classification using a multi-channel surface electromyography sensor

Sensors

Volumn 12, Issue 2, 2012, Pages 1130-1147

  Tang, Xueyan ^a   Liu, Yunhui ^a   Lv, Congyi ^a   Sun, Dong ^b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Cascaded; Concordance correlation; Hand motion; Multi channel; Surface electromyography

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; ELECTROMYOGRAPHY; EQUIPMENT; EQUIPMENT DESIGN; GENETIC PROCEDURES; GESTURE; HAND; HUMAN; INSTRUMENTATION; METHODOLOGY; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOSENSING TECHNIQUES; ELECTROMYOGRAPHY; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; GESTURES; HAND; HUMANS; MOVEMENT; PATTERN RECOGNITION, AUTOMATED;

EID: 84863264787     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s120201130     Document Type: Article

References (28)

1. Merletti, R.; Parker, P. Electromyography: Physiology, Engineering and Noninvasive Applications; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 2004; pp. 82-89.
2. Cipriani, C.; Antfolk, C.; Controzzi, M.; Lundborg, G.; Rosen, B.; Carrozza, M.C.; Sebelius, F. Online Myoelectric Control of a Dexterous Hand Prosthesis by Transradial Amputees. IEEE Trans. Neural Syst. Reh. En. 2001, 19, 260-270.
3. Jin, D.W.; Zhang, R.H.; Zhang, J.C.; Wang, R.C.; Gruver, W.A. An Intelligent Above-Knee Prosthsis with EMG-Based Terrain Identification. In Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Nashville, TN, USA, 8-11 October 2000; pp. 1859-1864.
4. Ito, K.; Tsuji, T.; Kato, A.; Ito, M. EMG Pattern Classification for a Prosthetic Forearm with Three Degrees of Freedom. In Proceedings of IEEE International Workshop on Robot and Human Communication, Tokyo, Japan, 1992, 205-210.
5. Doringer, J.A.; Hogan, N. Performance of Above Elbow Body-Powered Prostheses in Visually Guided Unconstrained Motion Tasks. IEEE Trans. Biomed. Eng. 1995, 42, 621-631.
6. Saridis, G.N.; Gootee, T.P. EMG Pattern Analysis and Classification for a Prosthetic Arm. IEEE Trans. Biomed. Eng. 1982, 29, 403-412.
7. Castellini, C.; Gruppioni, E.; Dayalli, A.; Sandini, G. Fine Detection of Grasp Force and Posture by Amputees via Surface Electromyography. Neurorobotics 2009, 103, 255-262.
8. Castellini, C.; Smagt, P. Surface EMG in Advanced Hand Prosthetics. Biol. Cybern. 2008, 100, 35-47.
9. Peerdeman, B.; Boere, D.; Witteveen, H.; in 't Veld, R.H.; Hermens, H.J.; Stramigioli, S.; Rietman, H.; Veltink, P.H.; Misra, S. Myoelectric Forearm Prostheses: State of the Art from a User-Centered Perspective. J. Rehabil. Res. Dev. 2011, 48, 719-738.
10. Nielsen, J.L.G.; Holmgaard, S.; Jiang, N.; Englehart, K.B.; Farina, D.; Parker, P.A. Simultaneous and Proportional Force Estimation for Multifunction Myoelectric Prostheses Using Mirrored Bilateral Training. IEEE Trans. Biomed. Eng. 2011, 58, 681-688.
11. Hudgins, B.; Parker, P. A New Strategy for Multifunction Myoelectric Control. IEEE Trans. Biomed. Eng. 1993, 40, 82-94.
12. Farry, K.A.; Walker, I.D.; Barabiuk, R.G. Myoelectric Teleoperation of a Complex Robotic Hand. IEEE Trans. Robotics Automat 1996, 12, 775-788.
13. Fukuda, O.; Tsuji, T.; Kaneko, M. An EMG Controlled Robotics Manipulator using Neural Networks. In Proceedings of IEEE International Workshop on Robot and Human Communication, Sendai, Japan, 29 September-1 October 1997; pp. 442-447.
14. Kuribayashi, K.; Okimura K.; Taniguchi, T. A Discrimination System using Neural Network for EMG-Controller Prostheses-Integral Type of EMG Signal Processing. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, 26-30 July 1993; pp. 1750-1755.
15. Saponas, T.S.; Tan, D.; Morris, D.; Balakrishnan, R. Demonstrating the Feasibility of Using Forearm Electromyography for Muscle-Computer Interfaces. In Proceedings of Conference on Human Factors in Computing Systems, Florence, Italy, 5-10 April 2008; pp. 515-524.
16. Du, Y.-C.; Lin, C.-H.; Shyu, L.-Y.; Chen, T. Portable Hand Motion Classifier for Multi-Channel Surface Electromyography Recognition using Grey Relational Analysis. Expert Syst. Appl. 2010, 37, 4283-4291.
17. Zecca, M.; Micera, S.; Carrozza, M.C.; Dario, P. Control of Multifunctional Prosthetic Hands by Processing the Electromyographic Signal. Crit. Rev. Biomed. Eng. 2002, 30, 459-485.
18. Hannaford, B.; Lehman, S. Short Time Fourier Analysis of the Electromyogram: Fast Movements and Constant Contraction. IEEE Trans. Biomed. Eng. 1986, 33, 1773-1181.
19. Du, S.J.; Vuskovic, M. Temporal vs. Spectral Approach to Feature Extraction from Prehensile EMG Signals. In Proceedings of IEEE International Conference on Information Reuse and Integration, Las Vegas, NV, USA, 8-10 November 2004; pp. 344-350.
20. Mogk, P.M.; Keir, J. Crosstalk in Surface Electromyography of the Proximal Forearm during Gripping Tasks. J. Electromyograph. Kinesiol. 2003, 13, 63-71.
21. Haykin, S. Neural Networks: A Comprehensive Foundation; Prentice Hall: Upper Saddle River, NJ, USA, 1999.
22. Micheli-Tzanakou, E. Supervised and Unsupervised Pattern Recognition: Feature Extraction and Computational Intelligence; CRC Press: Boca Raton, FL, USA, 2000.
23. Micera, S.; Sabatini, A.; Dario, P.; Rossi, B. A Hybrid Approach for EMG Pattern Analysis for Classification of Arm Movements using Statistical and Fuzzy Techniques. Med. Eng. Phys. 1999, 21, 303-311.
24. Abe, S.; Lan, M. A. Method for Fuzzy Rule Extraction Directly from Numerical Data and Its Application to Pattern Classification. IEEE Trans. Fuzzy Syst. 1995, 3, 18-28.
25. Tang, X.Y.; Liu, Y.H; Lu, C.Y.; Poon, W.L. Classification of Hand Motion using Surface EMG Signals. In Biologically Inspired Robotics; CRC Press Taylor & Francis Group: Boca Raton, FL, USA, 2011.
26. Lin, I.-K. A Concordance Correlation Coefficient to Evaluate Reproducibility. Biometrics 1989, 45, 255-268.
27. Lange, N.; Strother, S.C.; Anderson, J.R.; Nielsen, F.A.; Holmes, A.P.; Kolenda, T.; Savoy, R.; Hansen, L.K. Plurality and Resemblance in fMRI Data Analysis. Neuroimage 1999, 10, 282-303.
28. Webb, A.R. Statistical Pattern Recognition; John Wiley & Sons, Inc.: West Sussex, UK, 2002; pp. 329-335.