Automated classification of hand movements using tunable-Q wavelet transform based filter-bank with surface electromyogram signals.
Anurag NishadAbhay UpadhyayRam Bilas PachoriU. Rajendra AcharyaPublished in: Future Gener. Comput. Syst. (2019)
Keyphrases
- filter bank
- hand movements
- automated classification
- emg signals
- signal processing
- wavelet packet
- biorthogonal wavelet
- single trial
- perfect reconstruction
- multiscale
- subband
- wavelet filters
- multiresolution
- lifting scheme
- wavelet transform
- image coding
- wavelet bases
- low pass
- hand gestures
- wavelet coefficients
- continuous wavelet transform
- natural language descriptions
- wavelet basis
- eye gaze
- human communication
- iir filters
- wavelet decomposition
- wavelet function
- image processing
- independent component analysis
- computationally efficient
- frequency domain
- human computer interaction
- wavelet domain
- pattern recognition
- image compression
- feature vectors
- denoising
- data compression
- head movements
- high frequency
- edge detection
- eeg signals
- discrete wavelet transform
- feature extraction