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Related Experiment Video

Updated: Jul 16, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
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A Machine Learning-Based Correlation Analysis between Driver Behaviour and Vital Signs: Approach and Case Study.

Walaa Othman1, Batol Hamoud1, Alexey Kashevnik1,2

  • 1Saint Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), 199178 St. Petersburg, Russia.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
Summary
This summary is machine-generated.

This study analyzes driver state, vehicle maneuvers, and external events. Findings show weak correlations between actions like overtaking and physiological signs like heart rate, suggesting potential for advanced driver safety systems.

Keywords:
correlation analysisdriver maneuversdriving behaviourexternal eventsmachine learningvital signs

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Area of Science:

  • Physiological monitoring in automotive safety
  • Driver behavior analysis and biometrics
  • Human-computer interaction in vehicles

Background:

  • Increasing traffic accidents necessitate understanding driver state.
  • Existing research often links single physiological signs to driving conditions.
  • A comprehensive analysis of driver state, maneuvers, and external events is lacking.

Purpose of the Study:

  • To analyze correlations between driver state (vital signs, head/eye pose) and vehicle/external events.
  • To develop and integrate models for estimating driver state and environmental factors.
  • To identify key relationships for enhancing in-vehicle safety systems.

Main Methods:

  • Utilized in-cabin video for vital signs, head/eye pose estimation.
  • Employed out-cabin video and sensor data for external events and driver maneuvers.
  • Developed CNN, BiLSTM, and Decision Tree models for event/maneuver classification.
  • Calculated correlation matrices between all estimated and detected variables.

Main Results:

  • Weak correlations found between maneuvers/overtaking events and heart rate/blood pressure.
  • A correlation exists between head yaw angle and overtaking events.
  • Negative correlation observed between systolic blood pressure and vehicle proximity.

Conclusions:

  • Driver maneuvers and external events like overtaking induce physiological stress (heart rate, blood pressure).
  • Head pose changes correlate with specific driving events.
  • Findings support the development of sophisticated safety systems to manage driver state during critical events.