Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals.
Martin GjoreskiMatjaz GamsMitja LustrekPelin GencJens-Uwe GarbasTeena HassanPublished in: IEEE Access (2020)
Keyphrases
- end to end
- deep learning
- machine learning
- unsupervised learning
- unsupervised feature learning
- heart rate
- physiological signals
- congestion control
- multipath
- weakly supervised
- real time
- deep architectures
- visual features
- restricted boltzmann machine
- pattern recognition
- deep belief networks
- co occurrence
- reinforcement learning
- mental models
- active learning
- decision trees
- data mining
- supervised learning