Application of Linear Discriminant Analysis in Dimensionality Reduction for Hand Motion Classification
By: A. Phinyomark, H. Hu, P. Phukpattaranont and C. Limsakul
Open Access
|May 2012References
- Merletti, R., Hermens, H. (2004). Detection and conditioning of the surface EMG signal. In Merletti R., Parker, P. (eds.). New Jersey: John Wiley & Sons, 107-132.
- Oskoei, M.A., Hu, H. (2007). Myoelectric control systems—A survey., 2 (4), 275-294.
- Parker, P.A., Englehart, K.B., Hudgins, B.S. (2004). Control of powered upper limb prostheses. In Merletti, R., Parker, P. (eds.). New Jersey: John Wiley & Sons, 453-476.
- Phinyomark, A., Phukpattaranont, P., Limsakul, C. (2011). A review of control methods for electric power wheelchairs based on electromyography (EMG) signals with special emphasis on pattern recognition., 28 (4), 316-326.
- Jacobson, S.C., Knutti, D.F., Johnson, R.T., Shears, H.H. (1982). Development of the Utah artificial arm., 29 (4), 249-269.
- Hudgins, B., Parker, P., Scott, R.N. (1993). A new strategy for multifunction myoelectric control., 40 (1), 82-94.
- Light, C.M., Chappell, P.H. (2000). Development of a lightweight and adaptable multiple-axis hand prosthesis., 22 (10), 679-684.
- Englehart, K., Hudgin, B., Parker, P.A., Stevenson, M. (1999). Classification of the myoelectric signal using time-frequency based representations., 21 (6-7), 431-438.
- Khezri, M., Jahed, M. (2009). An exploratory study to design a novel hand movement identification system., 39 (5), 433-442.
- Artemiadis, P.K., Kyriakopoulos, K.J. (2010). EMG-based control of a robot arm using low-dimensional embeddings., 26 (2), 393-398.
- Rivera-Alvidrez, Z., Kalmar, R.S., Ryu, S.I., Shenoy, K.V. (2010). Low-dimensional neural features predict muscle EMG signals. In, 31 Aug. - 4 Sept. 2010. IEEE, 6027-6033.
- Khushaba, R.N., Al-Jumaily, A., Al-Ani, A. (2007). Novel feature extraction method based on fuzzy entropy and wavelet packet transform for myoelectric control. In, 17-19 October 2007. IEEE, 352-357.
- Chu, J.-U., Moon, I., Mun, M.-S. (2006). A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand., 53 (11), 2232-2239.
- Englehart, K., Hudgin, B., Parker, P.A. (2001). A wavelet-based continuous classification scheme for multifunction myoelectric control., 48 (3), 302-311.
- Chu, J.-U., Moon, I., Lee, Y.-J., Kim, S.-K., Mun, M.-S. (2007). A supervised feature-projection-based real-time EMG pattern recognition for multifunction myoelectric hand control., 12 (3), 282-290.
- Chan, A.D.C., Green, G.C. (2007). Myoelectric control development toolbox. In, 16-19 June 2007. CMBES, M0100.
- Khushaba, R.N., Al-Ani, A., Al-Jumaily, A. (2010). Orthogonal fuzzy neighborhood discriminant analysis for multifunction myoelectric hand control., 57 (6), 1410-1419.
- Liu, Y.H., Huang, H.P., Weng, C.H. (2007). Recognition of electromyographic signals using cascaded kernel learning machine., 12 (3), 253-264.
- Khushaba, R.N., Al-Jumaily, A., Al-Ani, A. (2009). Evolutionary fuzzy discriminant analysis feature projection technique in myoelectric control., 30 (7), 699-707.
- Khezri, M., Jahed, M. (2011). A neuro-fuzzy inference system for sEMG-based identification of hand motion commands., 58 (5), 1952-1960.
- Rafiee, J., Rafiee, M.A., Yavari, F., Schoen, M.P. (2011). Feature extraction of forearm EMG signals for prosthetics., 38 (4), 4058-4067.
- Phinyomark, A., Limsakul, C., Phukpattaranont, P. (2011). Application of wavelet analysis in EMG feature extraction for pattern classification., 11 (2), 45-52.
- Phinyomark, A., Nuidod, A., Phukpattaranont, P. Limsakul, C. (2012). Feature extraction and reduction of wavelet transform coefficients for EMG pattern classification., 122 (6), in press.
- Fukunaka, K. (1990).. Academic Press.
- Schafer, K.C., Balog, J., Szaniszlo, T., Szalay, D., Mezey, G., Denes, J., Bognar, L., Oertel, M., Takats, Z. (2011). Real time analysis of brain tissue by direct combination of ultrasonic surgical aspiration and sonic spray mass spectrometry., 83 (20) 7729-7735.
- Belhumeour, P.N., Hespanha, J.P., Kriegman, D.J. (1997). Eigenfaces vs. fisherfaces: Recognition using class specific linear projection., 19 (7), 711-720.
- Sakai, M., Kitaoka, N., Takeda, K. (2010). Acoustic feature transformation based on discriminant analysis preserving local structure for speech recognition., E93D (5), 1244-1252.
- Howland, P., Jeon, M., Park, H. (2003). Structure preserving dimension reduction for clustered text data based on the generalized singular value decomposition., 25 (1), 165-179.
- Jin, Z., Yang, J.Y., Tang, Z.M., Hu, Z.S. (2001). A theorem on the uncorrelated optimal discriminant vectors., 34 (10), 2041-2047.
- Ye, J. (2005). Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems., 6, 483-502.
- Ye, J., Li, Q. (2004). LDA/QR: An efficient and effective dimension reduction algorithm and its theoretical foundation., 37 (4), 851-854.
- Krzanowski, W.J., Jonathan, P., McCarthy, W.V., Thomas, M.R. (1995). Discriminant analysis with singular covariance matrices: Methods and applications to spectroscopic data., 44 (1), 101-115.
- Baudat, G., Anouar, F. (2000). Generalized discriminant analysis using a kernel approach., 12 (10), 2385-2404.
- Tao, X., Ye, J., Li, Q., Janardan, R., Cherkassky, V. (2004). Efficient Kernel discriminant analysis via QR decomposition. In, 13-18 December 2004. NIPS, 1529-1536.
- Phinyomark, A., Phukpattaranont, P., Limsakul, C., Phothisonothai, M. (2011). Electromyography (EMG) signal classification based on detrended fluctuation analysis., 10 (3), 281-301.
- Oskoei, M.A., Hu, H. (2008). Support vector machine-based classification scheme for myoelectric control applied to upper limb., 55 (8), 1956-1965.
- Kaufmann, P., Englehart, K., Platzner, M. (2010). Fluctuating EMG signals: Investigating long-term effects of pattern matching algorithms. In, 31 Aug. - 4 Sept. 2010. IEEE, 6357-6360.
- Geethanjali, P., Ray, K.K. (2011). Identification of motion from multi-channel EMG signals for control of prosthesis hand., 34 (3), 419-427.
- Du, Y.-C., Lin, C.-H., Shyu, L.-Y., Chen, T. (2010). Portable hand motion classifier for multi-channel surface electromyography recognition using grey relational analysis., 37 (6), 4283-4291.
- Khushaba, R.N., Al-Ani, A., Al-Jumaily, A. (2010). Orthogonal fuzzy neighborhood discriminant analysis for multifunction myoelectric hand control., 57 (6), 1410-1419.
- Yan, Z., Wang, Z., Xie, H. (2008). Joint application of rough set-based feature reduction and fuzzy LS-SVM classifier in motion classification., 46 (6), 519-527.
- Yan, Z., Wang, Z., Xie, H. (2008). The application of mutual information-based feature selection and fuzzy LS-SVM-based classifier in motion classification., 90 (3), 275-284.
- Clancy, E.A., Morin, E.L., Merletti, R. (2002). Sampling, noise-reduction and amplitude estimation issues in surface electromyography., 12 (1), 1-16.
- Naik, G.R., Kumar, D.K., Arjunan, S.P. (2010). Pattern classification of Myoelectrical signal during different Maximum Voluntary Contractions: A study using BSS techniques., 10 (1), 1-6.
- Boostani, R., Moradi, M.H. (2003). Evaluation of the forearm EMG signal features for the control of a prosthetic hand., 24 (2), 309-319.
- Phinyomark, A., Phukpattaranont, P., Limsakul, C. (2011). Wavelet-based denoising algorithm for robust EMG pattern recognition., 10 (2), 157-167.
- Hussain, M.S., Mamun, Md. (2012). Effectiveness of the wavelet transform on the surface EMG to understand the muscle fatigue during walk., 12 (1), 28-33.
DOI: https://doi.org/10.2478/v10048-012-0015-8 | Journal eISSN: 1335-8871
Language: English
Page range: 82 - 89
Published on: May 28, 2012
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
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© 2012 A. Phinyomark, H. Hu, P. Phukpattaranont, C. Limsakul, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons License.