SEMG Movement Pattern Recognition of Hand Based on Correlation Analysis and SVM

Graupe D and Cline W K. Functional separation of EMGsignals via ARMA identification methods for prosthesiscontrol purposes[J]. IEEE Trans. on Syst. Man Cybern, 1975,5(3): 252-259.[2]Hudgins B, Philip Parker, and Scott R N. A new strategy formultifunction myoelectric control. IEEE Trans. on BiomedEng, 1993, 40(1): 82-94.[3]Kang Werr-Jun, et al.. The application of cepstral coefficientsand maximum likelihood method in EMG patternrecognition[J].IEEE Trans. on Biomed Eng.1995, 42(8):777-785[4]罗志增, 杨广映. 表面肌电信号的AR 参数模型分析方法[J].传感技术学报, 2003, 16(4): 384-387.[5]Vapnik V N. An overview of statistical learning theory[J].IEEETrans. on Neural Network.1999, 10(5):988-999[6]Witkin A. Scale-space filtering: A new approach tomulti-scale description[J].IEEE International Conference onICASSP8.1984, 9(3):150-153[7]Xu Yansun, et al.. Wavelet transform domain filters: A spatially selective noise filtration technique[J].IEEE Trans. onImage Processing.1994, 3(6):747-758[8]Mallat S and Hwang W L. Singularity detection andprocessing with wavelets[J].IEEE Trans. on Inform. Theory.1992, 38(2):617-643[9]贾雪琴, 王旭等. 基于小波变换和K-L 展开的单通道表面肌电信号识别. 东北大学学报(自然科学版), 2006, 27(8): 859-862.[10]张学工. 关于统计学习理论与支持向量机. 自动化学报, 2000,26(1): 32-42.[11]王崇文, 李见为, 陈为民. 基于HMM 和SVM 的指纹分类方法[J].电子与信息学报.2003, 25(11):1488-1493浏览[12]Weston J and Watkins C. Multi-class support vectormachines[R]. Royal Holloway College. Tech Rep: CSDTR-98-04, 1998.