An integrated platform to assess driver's physiological and functional states.

Area of Science:

• Human-Computer Interaction
• Automotive Engineering
• Biomedical Engineering

Background:

• Physiological signals (Heart Rate, Respiration, Skin Resistance) indicate driver mental state.
• Existing methods often rely on controlled lab settings, limiting real-world applicability.
• Understanding driver behavior in actual driving conditions is crucial for safety.

Purpose of the Study:

• To develop and implement an in-vehicle system for real-time monitoring of driver physiological signals.
• To correlate physiological data with contextual driving information and driver actions.
• To enable a better estimation of the driver's functional state and its temporal evolution.

Main Methods:

• Designed and implemented an integrated in-vehicle system.
• Collected physiological signals (Heart Rate, Respiration, Skin Resistance).
• Recorded contextual driving data and driver actions simultaneously.

Main Results:

• The system successfully recorded physiological signals, driving context, and driver actions.
• Identified specific patterns correlating driver's functional state with driving context.
• Demonstrated the system's adaptability to ergonomics for practical application.

Conclusions:

• The developed in-vehicle system effectively captures driver physiological and contextual data.
• This approach allows for a more accurate estimation of driver functional state in real-world driving.
• The system contributes to a deeper understanding of driver behavior and enhances automotive ergonomics.