Detection of driver drowsiness using wearable devices: A feasibility study of the proximity sensor

2017/04/15 by Jibo He, Jwu‐Sheng Hu, William Choi +4 · 10 citations
Psychology · Computer Science · #Sleep and Work-Related Fatigue #Human-Automation Interaction and Safety #Gaze Tracking and Assistive Technology

paper · doi:10.1016/j.apergo.2017.02.016

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• Graph analysis of functional brain network topology using minimum spanning tree in driver drowsiness. [europepmc]
• A Novel Prototype for Safe Driving Using Embedded Smart Box System. [europepmc]
• An Electro-Oculogram (EOG) Sensor's Ability to Detect Driver Hypovigilance Using Machine Learning. [europepmc]
• A CNN-Based Wearable System for Driver Drowsiness Detection. [europepmc]
• Technologies for detecting and monitoring drivers' states: A systematic review. [europepmc]
• Wearable Sensors in Industrial Ergonomics: Enhancing Safety and Productivity in Industry 4.0. [europepmc]
• Digital Technology for Sleep Symptoms in Parkinson's Disease: A Scoping Review. [europepmc]