Gestures recognition based on wavelet and LLE

[1]  Zou Xiao.  Pattern Recognition of Surface Electromyography Signal Based on Multi-Scale Maximal Lyapunov Exponent , 2012 .

[2]  Dingguo Zhang,et al.  A discriminant bispectrum feature for surface electromyogram signal classification. , 2010, Medical engineering & physics.

[3]  Ganesh R. Naik,et al.  Twin SVM for Gesture Classification Using the Surface Electromyogram , 2010, IEEE Transactions on Information Technology in Biomedicine.

[4]  Pornchai Phukpattaranont,et al.  A Novel Feature Extraction for Robust EMG Pattern Recognition , 2009, ArXiv.

[5]  Dinesh K Kumar,et al.  Use of sEMG in identification of low level muscle activities: Features based on ICA and fractal dimension , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  Marie-Françoise Lucas,et al.  Multi-channel surface EMG classification using support vector machines and signal-based wavelet optimization , 2008, Biomed. Signal Process. Control..

[7]  Mehran Jahed,et al.  Real-time intelligent pattern recognition algorithm for surface EMG signals , 2007, Biomedical engineering online.

[8]  Junuk Chu,et al.  A Real-Time EMG Pattern Recognition System Based on Linear-Nonlinear Feature Projection for a Multifunction Myoelectric Hand , 2006, IEEE Transactions on Biomedical Engineering.

[9]  Adrian D. C. Chan,et al.  A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses , 2005, IEEE Transactions on Biomedical Engineering.

[10]  Dario Farina,et al.  Blind separation of linear instantaneous mixtures of nonstationary surface myoelectric signals , 2004, IEEE Transactions on Biomedical Engineering.

[11]  D.K. Kumar,et al.  Time-frequency analysis of SEMG with special consideration to the interelectrode spacing , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[12]  L Cai,et al.  [Surface EMG signal classification using wavelet transform]. , 2000, Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi.

[13]  Ali M. S. Zalzala,et al.  Myoelectric signal classification using evolutionary hybrid RBF-MLP networks , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

[14]  Z Z Wang,et al.  [A surface EMG signal identification method based on short-time Fourier transform]. , 2000, Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation.

[15]  Jun Yu,et al.  Time-frequency analysis of myoelectric signals during dynamic contractions: a comparative study , 2000, IEEE Transactions on Biomedical Engineering.

[16]  Nitish V. Thakor,et al.  Biomedical problems in time-frequency-scale analysis-new challenges , 1994, Proceedings of IEEE-SP International Symposium on Time- Frequency and Time-Scale Analysis.

[17]  M. Rosenstein,et al.  A practical method for calculating largest Lyapunov exponents from small data sets , 1993 .

[18]  R.N. Scott,et al.  A new strategy for multifunction myoelectric control , 1993, IEEE Transactions on Biomedical Engineering.

[19]  I. D. Stulin.  Experience with the type ÉKhO-11 domestic echo-encephalograph in the neurological branch , 1972 .