Improvements of Multi-features Extraction for EMG for Estimating Wrist Movements |
Kim, Seo-Jun
(인하대 공대 전자과)
Jeong, Eui-Chul (인하대 공대 전자과) Lee, Sang-Min (인하대 공대 전자과) Song, Young-Rok (인하대 정보전자공동연구소) |
1 | M. Ferdjallah, J. J. Wertsch, and G. F. Hams, "Effects of Surface Electrode Size on Computer Simulated Surface Motor Unit Potentials," Electromyography and Clinical Neurophysiology, vol. 39, pp. 259-265, 1990. |
2 | C. Jensen, O. Vasseljen, R. H. Westgaard, "The influence of Electrode Position on Bipolar Surface Electromyogram Recordings of the Upper Trapezius Muscle," Eur. J. Appl Physiol., vol. 67, pp. 266-273, 1993. DOI ScienceOn |
3 | S. Thusneyapan, G. I. Zahalak "A Practical Electrode-Array Myoprocessor for Surface Electromyography," IEEE Trans. Biomed Eng., vol. 36, no. 2. February. 1989. |
4 | 엄현우, 최한순,남윤수, "EMG 센서를 이용한 재활 목적을 지닌 보행 보조 기구의 실시간 제어," 한국정밀공학회논문지, 추계학술대회 논문집, pp. 49-50, October, 2009. |
5 | Adaptive fuzzy k-NN classifier for EMG signal decomposition vol 28, no 7, pp. 694-709, September, 2006. DOI ScienceOn |
6 | K.S Kim, H.H Choi, C.S Moon, C.W Mun, "Comparison of k-nearest neighbor, quadratic discriminant and linear discriminant analysis in classification of electromyogram signals based on the wrist-motion directions," Current Applied Physics, vol 11, no 3, pp 740-745, May 2011. DOI ScienceOn |
7 | Wei-Shi Zhenga,c, J.H. Laib,c, Stan Z, "1D-LDA vs. 2D-LDA:When is vector-based linear discriminant analysis better than matrix-based?," Pattern Recognition, vol. 41, no. 7, pp. 2156-2172, 2008. DOI ScienceOn |
8 | Alok S, Kuldip K. Paliwala, Godfrey C. Onwubolub, "Class-dependent PCA,MDCand LDA:Acombined classifier for pattern classification," Pattern Recognition, vol. 39, no. 7, pp.1215-1229, July 2006. DOI ScienceOn |
9 | R. M. Balabin, R. Z. Safieva, E. I. Lomakina, "Gasoline classification using near infrared (NIR) spectroscopy data Comparison of multivariate techniques," Analytica Chimica Acta, vol. 671, no. 1-2, 25, pp. 27-35, June 2010. DOI ScienceOn |
10 | D. Michie, D.J. Spiegelhalter, C.C. Taylor, "Mach. Learn, Neural and Statistical Classification," February 17, 1994. |
11 | 한학용, 패턴인식 개론, 한빛미디어(주), pp. 163-539, 2005. |
12 | M. Pontil, A. Verri, "Properties of support vector machines, Neural Comput," Neural Computation, vol. 10, no. 4, pp. 955-974, May, 1998. DOI ScienceOn |
13 | BV. Dasarathy, Nearest Neighbor (NN) Norms: NN Pattern Classification, Ieee Computer Society, December 1990. |
14 | K. Fukunaga, Introduction to Statistical Pattern Recognition, 2nd ed., Academic Press, Boston, October 12, 1990. |
15 | N. Cristianini, J. Shave-Taylor, An Introduction to Support Vector Machine (and Other Kernel-Based Learning Methods), Cambridge Univ. Press, Cambridge, UK, 2000. |
16 | 송영록, 김서준, 정의철, 이상민, "Gaussian Mixture Model 기반 전완 근전도 패턴 분류 알고리즘," 재활복지공학회논문지, 5권 1호, pp. 95-101, 2011. |
17 | Cherchi. E, Guevara C.A, "A Monte Carlo experiment to analyze the curse of dimensionality in estimating random coefficients models with a full variance-covariance matrix," Transportation Research, 2011. |