Optimized Tunable Q Wavelet Transform Based Drowsiness Detection from Electroencephalogram Signals

Author:

Khare S.K.ORCID,Bajaj V.

Publisher

Elsevier BV

Subject

Biomedical Engineering,Biophysics

Reference51 articles.

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2. Royal D. National survey of distracted and drowsy driving attitudes and behavior: 2002 (dot hs 809 566). Washington, DC: National Highway Traffic Safety Administration.

3. Detecting driver drowsiness based on sensors: a review;Sahayadhas;Sensors,2012

4. Sensor applications and physiological features in drivers' drowsiness detection: a review;Chowdhury;IEEE Sens J,2018

5. Examining the relevance with sleep stages of time domain features of EEG, EOG, and chin EMG signals;Gune,2009

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