Application of Fully Adaptive Symbolic Representation to Driver Mental Fatigue Detection Based on Body Posture
Author:
Funder
University of Wollongong
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9658572/9658575/09659024.pdf?arnumber=9659024
Reference22 articles.
1. Unsupervised Drowsy Driving Detection With RFID
2. Unsupervised Patterns of Driver Mental Fatigue State Based on Head Posture Using Gaussian Mixture Model
3. Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network
4. Experiencing SAX: a novel symbolic representation of time series
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