Apply fuzzy vector quantization to improve the observation-based Discrete Hidden Markov Model - An example on electroencephalogram (EEG) signal recognition.
Shing-Tai PanSheng-Fu LiangTzung-Pei HongJian-Hong ZengPublished in: FUZZ-IEEE (2011)
Keyphrases
- hidden markov models
- vector quantization
- eeg signals
- image compression
- gesture recognition
- vector quantizer
- handwritten word recognition
- distortion measure
- handwritten words
- speech recognition
- event related potentials
- unsupervised learning
- signal processing
- pattern recognition
- feature extraction
- neural network
- activity recognition
- action recognition
- brain activity
- eeg data
- video sequences