DetectDUI: An In-Car Detection System for Drink Driving and BACs

As one of the biggest contributors to road accidents and fatalities, drink driving is worthy of significant research attention. However, most existing systems on detecting or preventing drink driving either require special hardware or require much effort from the user, making these systems inapplica...

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Bibliographic Details
Published in:IEEE/ACM transactions on networking 2022-04, Vol.30 (2), p.896-910
Main Authors: Chen, Yanjiao, Xue, Meng, Zhang, Jian, Ou, Runmin, Zhang, Qian, Kuang, Peng
Format: Article
Language:English
Subjects:
Alcoholic beverages
Algorithms
Artificial neural networks
Coordination
Data transmission
Drink driving detection
Driving
Drunk driving
Drunkenness
Heart beat
Heart rate
inertial measurement unit
mobile sensing
Monitoring
Pedestrians
Sensors
Signal processing
Telemedicine
Traffic accidents
Vehicles
Wheels
Wireless fidelity
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Summary:As one of the biggest contributors to road accidents and fatalities, drink driving is worthy of significant research attention. However, most existing systems on detecting or preventing drink driving either require special hardware or require much effort from the user, making these systems inapplicable to continuous drink driving monitoring in a real driving environment. In this paper, we present DetectDUI , a contactless, non-invasive, real-time system that yields a relatively highly accurate drink driving monitoring by combining vital signs (heart rate and respiration rate) extracted from in-car WiFi system and driver's psychomotor coordination through steering wheel operations. The framework consists of a series of signal processing algorithms for extracting clean and informative vital signs and psychomotor coordination, and integrate the two data streams using a self-attention convolutional neural network (i.e., C-Attention). In safe laboratory experiments with 15 participants, DetectDUI achieves drink driving detection accuracy of 96.6% and BAC predictions with an average mean error of 2\sim 5mg/dl . These promising results provide a highly encouraging case for continued development.
ISSN:1063-6692
1558-2566
DOI:10.1109/TNET.2021.3125950