Optimized Tunable Q Wavelet Transform Based Drowsiness Detection from Electroencephalogram Signals
Sign Up to like & getrecommendations! Published in 2020 at "Irbm"
DOI: 10.1016/j.irbm.2020.07.005
Abstract: Abstract Early discernment of drivers drowsy state may prevent numerous worldwide road accidents. Electroencephalogram (EEG) signals provide valuable information about the neurological changes for discrimination of alert and drowsy state. A signal is decomposed into… read more here.
Keywords: decomposition parameters; wavelet transform; tunable wavelet; wavelet ... See more keywords