Classification of stand-to-sit and sit-to-stand movement from low frequency EEG with locality preserving dimensionality reduction.
Thomas C. BuleaSaurabh PrasadAtilla KilicarslanJosé L. Contreras-VidalPublished in: EMBC (2013)
Keyphrases
- locality preserving
- low frequency
- dimensionality reduction
- high frequency
- locality preserving projections
- frequency band
- feature extraction
- dimensionality reduction methods
- manifold learning
- high dimensionality
- pattern recognition
- wavelet transform
- pattern classification
- frequency domain
- feature selection
- kernel trick
- feature space
- data representation
- high dimensional data
- wavelet coefficients
- machine learning
- low dimensional
- feature vectors
- principal component analysis
- lower dimensional
- kernel learning
- similarity measure
- support vector machine
- knn
- eeg signals
- input space
- latent semantic indexing
- subspace learning
- multiscale
- image processing
- subband