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Title: Emotional state classification of brain signals using extreme learning machine (ELM) algorithm
Authors: Yohanes, Rendi Ein Janvier.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Issue Date: 2012
Abstract: Electroencephalogram (EEG) signals have been proven to have strong correlation with underlying human emotions. Numerous approaches have been reported for emotion recognition from EEG signals; however, not much effort has been performed in applying Wavelet Transform for emotion recognition from EEG signals despite its proven effectiveness on non-stationary signal analysis.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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