Development of a Real-Time Driver Health Detection System Using a Smart Steering Wheel

Jae-Cheon Lee and Hao Liu
Publication Target: 
IJPHM
Publication Issue: 
Special Issue from PHMAP17 Highlights
Submission Type: 
Full Paper
AttachmentSizeTimestamp
ijphm_18_013.pdf510.21 KBApril 1, 2018 - 7:58pm

The number of vehicle accidents due to driver's drowsiness continues to increase. Therefore, prompt and effective detection for driver's health during driving is crucial to improvement of traffic safety. A set of real-time health detection system built-in a smart handle for driver is proposed in the research. By monitoring driver’s biological signals, including respiration, hand gripping force, photoplethysmogram (PPG), and electrocardiogram (ECG), driver's health condition (drowsiness) is able to be detected via the developed algorithm. Meanwhile the driver's state of arrhythmia can be diagnosed too. The test results indicate that the developed real-time driver’s health detection system can effectively monitor not only the state of vigilance but also the state of arrhythmia of a driver.

Publication Year: 
2018
Publication Volume: 
9
Publication Control Number: 
013
Page Count: 
5
Submission Keywords: 
drowsiness
driver’s state of vigilance
driver’s state of arrhythmia
smart steering wheel
Submission Topic Areas: 
Health management system design and engineering
Submitted by: 
  
 
 
 

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