Bilinear modeling of EMG signals to extract user-independent features for multiuser myoelectric interface

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 8, 2013, Pages 2205-2213

  Matsubara, Takamitsu ^a,b   Morimoto, Jun ^b  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

^b ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

Electromyography (EMG); feature extraction; multiuser interface; myoelectric interface; robot hand control

Indexed keywords

ADAPTATION METHODS; BILINEAR MODELS; MOTION-DEPENDENT; MULTI-USER INTERFACES; MULTIPLE MOTIONS; ROBOT HAND CONTROL; SIGNIFICANCE LEVELS; USER INDEPENDENTS;

FEATURE EXTRACTION; ROBOTIC ARMS;

ELECTROMYOGRAPHY;

ACCURACY; ARTICLE; CLASSIFIER; COMPARATIVE STUDY; COMPUTER INTERFACE; CONTROLLED STUDY; ELECTROMYOGRAPHY; GESTURE; HAND; MOTION; MYOELECTRICITY; NONBIOLOGICAL MODEL;

ADULT; ALGORITHMS; COMPUTER SIMULATION; ELECTROMYOGRAPHY; GESTURES; HAND; HUMANS; LINEAR MODELS; MALE; MAN-MACHINE SYSTEMS; MODELS, BIOLOGICAL; MUSCLE CONTRACTION; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; ROBOTICS; SENSITIVITY AND SPECIFICITY;

EID: 84880862144     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2250502     Document Type: Article

References (37)

1. H. Sears and J. Shaperman, "Proportional myoelectric hand control: An evaluation," Amer. J. Phys. Med. Rehabil., vol. 70, no. 1, pp. 20-8, 1991.
2. T. Felzer and B. Freisleben, "HaWCoS: The hands-freewheelchair control system," in Proc. ACM Conf. Assist. Technol., 2002, pp. 127-134.
3. H. Kawamoto, S. Kanbe, and Y. Sankai, "Power assist method for HAL- 3 using EMG-based feedback controller," in Proc. Int. Conf. Syst. Man Cybern., 2003, pp. 1648-1653.
4. J. B.Moseley, F. W. Jobe,M. Pink, J. Perry, and J. Tibone, "EMG analysis of the scapular muscles during a shoulder rehabilitation program," Amer. J. Sport. Med., vol. 20, no. 2, pp. 128-134, 1992.
5. S.-C. Jou, T. Schultz, M. Walliczek, F. Kraft, and A. Waibel, "Towards continuous speech recognition using surface electromyography, " in Proc. Annu. Conf. Int. Speech Commun. Assoc., 2006, pp. 573-576.
6. K. Wheeler and C. Jorgensen, "Gestures as input: Neuroelectric joysticks and keyboards," IEEE Pervasive Comput., vol. 2, no. 2, pp. 56-61, Apr.- Jun. 2003.
7. M. Robinson, "Proportional control: True physiological control," in Proc. UNB's Myoelec. Control Powered Prosthetics Symp., 1995, pp. 117-123.
8. D.Graupe andW.Cline, "Functional separation of EMGsignal viaARMA identification methods for prosthetic control purposes," IEEE Trans. Syst. Man Cybern., vol. 5, no. 2, pp. 252-259, Mar. 1975.
9. D. Graupe, J. Salahi, and R. Scott, "Mutifunctional prosthesis and orthosis control via microcomputer identification of temporal pattern differences in single-site myoelectric signals," J. Biomech. Eng., vol. 4, no. 1, pp. 17-22, 1982. (Pubitemid 12212303)
10. M. F. Kelly, P. A. Parker, and S. Robert N, "The application of neural networks to myoelectric signal analysis: A preliminary study," IEEE Trans. Biomed. Eng., vol. 37, no. 3, pp. 221-230, Mar. 1990. (Pubitemid 20212142)
11. B. Hudgins, P. Parker, and S. Robert N, "A new strategy for multifunction myoelectric control," IEEE Trans. Biomed. Eng., vol. 40, no. 1, pp. 82-94, Jan. 1993. (Pubitemid 24060692)
12. F. H. Y. Chan, Y. Yang, F. K. Lam, Y. Zhang, and P. A. Parker, "Fuzzy EMG classification for prosthesis control," IEEE Trans. Rehabil. Eng., vol. 8, no. 3, pp. 305-311, Sep. 2000.
13. J. Chu, I. Moon, and M. Mun, "A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand," IEEE Trans. Biomed. Eng., vol. 53, no. 11, pp. 2232- 2239, Nov. 2006. (Pubitemid 44629861)
14. A. D. C. Chan and K. B. Englehart, "Continuous myoelectric control for powered prostheses using hidden Markov models," IEEE Trans. Biomed. Eng., vol. 52, no. 1, pp. 121-124, Jan. 2005. (Pubitemid 40065616)
15. 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. Biomed. Eng., vol. 52, no. 11, pp. 1801-1811, Nov. 2005. (Pubitemid 41578800)
16. S. Bitzer and P. Smagt, "LearningEMGcontrol of a robotic hand: Towards active prostheses," in Proc. IEEE Int. Conf. Robot. Autom., May 2006, pp. 2819-2823. (Pubitemid 44940491)
17. M. Yoshikawa, M. Mikawa, and K. Tanaka, "A myoelectric interface for robotic hand control using support vector machine," in Proc. IEEE/RSJ Int. Conf. Intell. Robot. Syst., Oct./Nov. 2007, pp. 2723-2728.
18. P. Shenoy, K. J. Miller, B. Crawford, and R. P. N. Rao, "Online electromyographic control of a robotic prosthesis," IEEE Trans. Biomed. Eng., vol. 55, no. 3, pp. 1128-1135, Mar. 2008. (Pubitemid 351301229)
19. R. N. Khushaba, A. Al-Ani, and A. Al-Jumaily, "Orthogonal fuzzy neighborhood discriminant analysis for multifunction myoelectric hand control," IEEE Trans. Biomed. Eng., vol. 57, no. 6, pp. 1410-1419, Jun. 2010.
20. L. J. Hargrove, E. J. Scheme, K. B. Englehart, and B. S. Hudgins, "Multiple binary classifications via linear discriminant analysis for improved controllability of a powered prosthesis," IEEE Trans.Neural Syst. Rehabil. Eng., vol. 18, no. 1, pp. 49-57, Feb. 2010.
21. J. B. Tenenbaum and W. T. Freeman, "Separating style and content with bilinear models," Neural Comput., vol. 12, no. 6, pp. 1247-1283, 2000.
22. F. Orabona,C.Castellini, B. Caputo, A. E. Fiorilla, andG. Sandini, "Model adaptationwith least-squaresSVMfor adaptive hand prosthetics," in Proc. IEEE Int. Conf. Robot. Autom., May 2009, pp. 2897-2903.
23. O. Fukuda, T. Tsuji, A. Ohtsuka, and M. Kaneko, "EMG-based human- robot interface for rehabilitation aid," in Proc. IEEE Int. Conf. Robot. Autom., May 1998, vol. 4, pp. 3492-3497.
24. R. Kato, H. Yokoi, and T. Arai, "Real-time learning method for adaptable motion-discrimination using surface EMG signal," in Proc. IEEE/RSJ Int. Conf. Intell. Robot. Syst., Oct. 2006, pp. 2127-2132. (Pubitemid 46928209)
25. T. Matsubara, S. Hyon, and J. Morimoto, "Learning and adaptation of a stylistic myoelectric interface: EMG-based robotic control with individual user differences," in Proc. IEEE Int. Conf. Robot. Biomimetics, Dec. 2011, pp. 390-395.
26. N. Cristianini and J. Shawe-Taylor, An Introduction to Support VectorMachines and Other Kernel-Based Learning Methods. Cambridge, U.K.: Cambridge Univ. Press, 2000.
27. C. Hsu and C. Lin, "A comparison of methods for multi-class support vector machines," IEEE Trans. Neural Netw., vol. 13, no. 2, pp. 415-425, 2002. (Pubitemid 34475042)
28. M. Zardoshti, B. C. Wheeler, K. Badie, and R. Hashemi, "Evaluation of EMG features for movement control of prostheses," IEEE Trans. Rehabil. Eng., vol. 3, no. 4, pp. 324-333, Dec. 1995.
29. A. D. Chan and G. C. Green, "Myoelectric control development toolbox," in Proc. Conf. Can. Med. Biol. Eng. Soc., 2007, pp. 1-4.
30. J. M.Wang, D. J. Fleet, and A. Hertzmann, "Multifactor Gaussian process models for style-content separation," in Proc. Int. Conf. Mach. Learn., 2007, pp. 975-982.
31. T. Matsubara, S. Hyon, and J. Morimoto, "Learning stylistic dynamic movement primitives from multiple demonstrations," in Proc. IEEE/RSJ Int. Conf. Intell. Robot. Syst., Oct. 2010, pp. 1277-1283.
32. T. Matsubara, A. Uchikata, and J. Morimoto, "Full-body exoskeleton robot control for walking assistance by style-phase adaptive pattern generation," in Proc. IEEE/RSJ Int.Conf. Intell. Robot. Syst.,Oct. 2012, pp. 3914-3920.
33. B. Scholkopf,A. Smola, and K.-R. Muller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Comput., vol. 10, no. 5, pp. 1299- 1319, 1998. (Pubitemid 128463674)
34. T. Matsubara, S. Hyon, and J. Morimoto, "Real-time stylistic predictions forwhole-body human motions," Neural Networks, vol. 25, no. 1, pp. 191- 199, 2012.
35. S. Hyon, J. Morimoto, T. Matsubara, T. Noda, and M. Kawato, "XoR: Hybrid Drive exoskeleton robot that can balance," in Proc. IEEE/RSJ Int. Conf. Intell. Robot. Syst., Sep. 2011, pp. 2715-2722.
36. J. Morimoto, T. Noda, and S. Hyon, "Extraction of latent kinematic relationships between human users and assistive robots," in Proc. IEEE Int. Conf. Robot. Autom., May 2012, pp. 3909-3915.
37. G. Li, A. E. Schultz, and T. A. Kuiken, "Quantifying pattern recognitionbasedmyoelectric control ofmultifunctional transradial prostheses," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 18, no. 2, pp. 20-28, Apr. 2010.