Real-time physiological and facial monitoring for safe driving

• Published in: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2016; pp. 4849 - 4852
• Main Authors: Yu-Lung Chang, Yen-Cheng Feng, Chen, Oscal T.-C
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.08.2016
• Subjects: Adult; Automobile Driving; Automobiles; Electrocardiogram; Electrocardiography; Electrocardiography - methods; Face - physiology; Fatigue; Fatigue - diagnosis; fatigue driving; Female; Healthy Volunteers; Heart Rate - physiology; Heart rate variability; Humans; Male; regression method; Roads; Time-frequency analysis; Wireless Technology - instrumentation; yawning; Yawning - physiology

This work is to develop an intelligent driver-assistance system which can perceive the physiological state of a driver to avoid fatigue driving. The proposed system includes a camera, a wireless ElectroCardioGram (ECG) sensor patch, and a computation platform. The camera in front of a driver is to c...