Eyelid Dynamics Characterization with 120 GHz mmW Radar

Area of Science:

• Biomedical Engineering
• Radar Technology
• Human-Computer Interaction

Background:

• Eyelid movement analysis is crucial for diagnosing neurological conditions and detecting driver drowsiness.
• Existing measurement methods for eyelid dynamics have limitations in precision and non-invasiveness.

Purpose of the Study:

• To develop and validate a novel millimeter wave (mmW) radar-based approach for measuring eyelid movement.
• To assess the feasibility of this technique for practical applications, including use with eyeglasses.

Main Methods:

• A two-step measurement technique using mmW radar focusing on a small resolution cell around the eye.
• Evaluation of phase evolution over time to capture eyelid dynamics.
• Simulations for radar system optimization and interference compensation.

Main Results:

• The proposed mmW radar method effectively detects eyelid movement patterns.
• Simulations demonstrate potential for interference compensation and feasibility with eyeglasses.
• The technique allows for detailed analysis of blink frequency, regularity, duration, and velocity.

Conclusions:

• Millimeter wave radar offers a promising non-contact solution for precise eyelid movement measurement.
• This technology can be applied to monitor neurological conditions and driver alertness.
• Further research can optimize the system for broader clinical and safety applications.