A feasibility study on the use of anthropometric variables to make muscle-computer interface more practical

Engineering Applications of Artificial Intelligence

Volumn 26, Issue 7, 2013, Pages 1681-1688

  Phinyomark, Angkoon ^a,b   Quaine, Franck ^a   Charbonnier, Sylvie ^a   Serviere, Christine ^a   Tarpin Bernard, Franck ^b   Laurillau, Yann ^b  

^a GIPSA LAB   (France)

^b UNIV GRENOBLE ALPES   (France)

Author keywords

Circumference; Electromyography (EMG); Feature extraction; Gesture recognition; Hand motion; Muscle size

Indexed keywords

ANTHROPOMETRIC VARIABLES; CIRCUMFERENCE; CLASSIFICATION ACCURACY; ELECTROMYOGRAPHY (EMG); EMG PATTERN RECOGNITION; HAND MOTION; MUSCLE SIZE; SURFACE ELECTROMYOGRAPHY;

ANTHROPOMETRY; ELECTROMYOGRAPHY; FEATURE EXTRACTION; GESTURE RECOGNITION; INTERFACES (COMPUTER);

MUSCLE;

EID: 84878108202     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2013.01.004     Document Type: Article

References (32)

1. Md.R. Ahsan, M.I. Ibrahimy, and O.O. Khalifa Advances in electromyogram signal classification to improve the quality of life for the disabled and aged people J. Comput. Sci. 6 2010 705 715
2. R.E. Anakwe, J.S. Huntley, and J.E. Mceachan Grip strength and forearm circumference in a healthy population J. Hand Surg. Eur. 32 2007 203 209 (Pubitemid 46335596)
3. L.A. Bolgla, and T.L. Uhl Reliability of electromyographic normalization methods for evaluating the hip musculature J Electromyogr Kines. 17 2007 102 111 (Pubitemid 44750692)
4. Cannan, J.A.R.; Hu, H.; 2011. Automatic circumference measurement for aiding in the estimation of maximum voluntary contraction (MVC) in EMG systems. In: Proceedings of the fourth International Conference on Intelligent Robotics and Applications, pp. 202-211.
5. C. Cipriani, F. Zaccone, S. Micera, and M.C. Carrozza On the shared control of an EMG-controlled prosthetic hand: analysis of user-prosthesis interaction IEEE Trans. Rob. 24 2008 170 184 (Pubitemid 351411206)
6. M. Hariharan, C.Y. Fook, R. Sindhu, B. Ilias, and S. Yaacob A comparative study of wavelet families for classification of wrist motions Comput. Electr. Eng. 38 2012 1798 1807
7. A.L. Hof, C.N.A. Pronk, and J.A. van Best Comparison between EMG to force processing and kinetic analysis for the calf muscle moment in walking and stepping J. Biomech. 20 1987 167 178 (Pubitemid 17030780)
8. B. Hudgins, P. Parker, and R.N. Scott A new strategy for multifunction myoelectric control IEEE Trans. Biomed. Eng. 40 1993 82 94 (Pubitemid 24060692)
9. K.R.S. Holzbaur, W.M. Murray, G.E. Gold, and S.L. Delp Upper limb muscle volumes in adult subjects J. Biomech. 40 2007 742 749
10. D.J. Housh, T.J. Housh, J.P. Weir, L.L. Weir, G.O. Johnson, and J.R. Stout Anthropometric estimation of thigh muscle cross-sectional area Med. Sci. Sports Exercise 27 1995 784 791
11. Z. Ju, X. Zhu, and H. Liu Empirical copula-based templates to recognize surface EMG signals of hand motions Int. J. Humanoid Rob. 8 2011 725 741
12. E.N. Kamavuako, D. Farina, K. Yoshida, and W. Jensen Relationship between grasping force and features of single-channel intramuscular EMG signals J. Neurosci. Methods 185 2009 143 150
13. G. Li, Y. Li, L. Yu, and Y. Geng Conditioning and sampling issues of EMG signals in motion recognition of multifunctional myoelectric prostheses Ann. Biomed. Eng. 39 2011 1779 1787
14. G. Li, A.E. Schultz, and T.A. Kuiken Quantifying pattern recognition-based myoelectric control of multifunctional transradial prostheses IEEE Trans. Neural Syst. Rehabil. Eng. 18 2010 185 192
15. W.S. Marras, and C.M. Sommerich A three-dimensional motion model of loads on the lumbar spine: I. Model structure Hum. Factors. 33 1991 123 137
16. C.A. Oatis Kinesiology: The Mechanics and Pathomechanics of Human Movement second ed. 2008 Lippincott Williams & Wilkins
17. M.A. Oskoei, and H. Hu Myoelectric control systems-a survey Biomed. Signal Process. Control 2 2007 275 294 (Pubitemid 47610329)
18. B. Peerdeman, D. Boere, H. Witteveen, Veld R. Huis, in't, H. Hermens, S. Stramigioli, H. Rietman, P. Veltink, and S. Misra Myoelectric forearm prostheses: state of the art from a user-centered perspective J. Rehabil. Res. Dev. 48 2011 719 738
19. A. Phinyomark, P. Phukpattaranont, and C. Limsakul Investigating long-term effects of feature extraction methods for continuous EMG pattern classification Fluctuation Noise Lett. 11 2012 1250028
20. A. Phinyomark, P. Phukpattaranont, and C. Limsakul Feature reduction and selection for EMG signal classification Expert Syst. Appl. 39 2012 7420 7431
21. A. Phinyomark, P. Phukpattaranont, and C. Limsakul A review of control methods for electric power wheelchairs based on electromyography (EMG) signals with special emphasis on pattern recognition IETE Tech. Rev. 28 2011 316 326
22. A. Phinyomark, P. Phukpattaranont, and C. Limsakul Electromyography (EMG) signal classification based on detrended fluctuation analysis Fluctuation Noise Lett. 10 2011 281 301
23. A. Phinyomark, C. Limsakul, and P. Phukpattaranont A novel feature extraction for robust EMG pattern recognition J. Comput. 1 2009 71 80
24. M.B.I. Raez, M.S. Hussain, and F. Mohd-Yasin Techniques of EMG signal analysis: detection, processing, classification and applications Biol. Proced. Online 8 2006 11 35
25. G.C. Ray, and S.K. Guha Relationship between the surface e.m.g. and muscular force Med. Biol. Eng. Comput. 21 1983 579 586 (Pubitemid 13048849)
26. Saponas, T.S.; Tan, D.S.; Morris, D.; Turner, J.; Landay, J.A.; 2010. Making muscle-computer interfaces more practical. In: Proceedings of the 28th International Conference on Human Factors in Computing Systems, pp. 851-854.
27. Saponas, T.S.; Tan, D.S.; Morris, D.; Balakrishnan, R.; Turner, J.; Landay, J.A.; 2009. Enabling always-available input with muscle-computer interfaces. In: Proceedings of the 22nd Annual ACM Symposium on User Interface Software and Technology, pp. 167-176.
28. R. Taylor Interpretation of the correlation coefficient: a basic review J. Diagn. Med. Sonog. 6 1990 35 39 (Pubitemid 20092496)
29. D. Tkach, H. Huang, and T.A. Kuiken Study of stability of time-domain features for electromyographic pattern recognition J. NeuroEng. Rehabil. 7 2010 21
30. F.J. Vera-Garcia, J.M. Moreside, and S.M. McGill MVC techniques to normalize trunk muscle EMG in healthy women J. Electromyogr. Kines. 20 2010 10 16
31. P. Wojtczak, T.G. Amaral, O.P. Dias, A. Wolczowski, and M. Kurzynski Hand movement recognition based on biosignal analysis Eng. Appl. Artif. Intell. 22 2009 608 615
32. Zhang, X.; Chen, X.; Zhao, Z.Y.; Li, Q.; Yang, J.H.; Lantz, V.; Wang, K.Q.; 2008. An adaptive feature extractor for gesture SEMG recognition. In: Proceedings of the First International Conference on Medical Biometrics, pp. 83-90. (Pubitemid 351153205)