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Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study.

Takuma Akiduki¹, Jun Nagasawa¹, Zhong Zhang²

¹Graduate School of Engineering, Toyohashi University of Technology, Toyohashi 441-8580, Japan.

Sensors (Basel, Switzerland)

|January 11, 2022

Summary

This study introduces a low-cost system using wearable sensors to detect driver inattention and drowsiness during long drives. The novel algorithm accurately identifies these states, enhancing road safety.

Keywords:

accelerometer body-worn sensor drowsiness driving inattentive driving motion feature

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Area of Science:

Human-Computer Interaction
Automotive Safety
Biomedical Engineering

Background:

Long-term driving, especially on monotonous roads like highways, can lead to driver inattention due to decreased vigilance.
Fatigue and drowsiness are primary causes of inattentive driving, posing significant safety risks.
Drivers often struggle to recognize their own absent-minded or inattentive states.

Purpose of the Study:

To develop a cost-effective system for detecting a driver's internal state using body-worn sensors.
To accurately identify inattentive driving states, specifically those related to fatigue and drowsiness.
To propose a novel detection algorithm combining physiological and motion data.

Main Methods:

Utilized body-worn inertial sensors (accelerometers) and a heart rate sensor.
Developed a detection algorithm integrating three models: body movement, drowsiness, and inattention detection.
Employed an anomaly detection algorithm for identifying deviations from normal driving states.
Validated the algorithm using experimental data from five participants in a driving simulator.

Main Results:

The proposed system successfully detected both inattentive and drowsiness states in drivers.
The algorithm demonstrated effectiveness using data from heart rate sensors and wrist-worn accelerometers.
Experimental validation confirmed the accuracy of the detection approach in simulated monotonous driving conditions.

Conclusions:

Wearable sensors offer a viable and low-cost solution for monitoring driver vigilance.
The integrated detection algorithm effectively identifies driver fatigue and inattention.
This technology has the potential to significantly improve road safety by alerting drivers to critical internal states.