Introducing TRECEY: An algorithm for tremor compensation using eye-tracking during multimedia remote controller...

Area of Science:

• Neuroscience
• Biomedical Engineering
• Human-Computer Interaction

Background:

• Parkinson's disease (PD) is a progressive neurodegenerative disorder affecting millions globally.
• Limb tremors are a common motor symptom of PD, significantly impairing daily activities and device interaction.
• Current treatments for PD tremors have diminishing efficacy, and assistive technology for digital devices remains limited.

Purpose of the Study:

• To introduce TRECEY (TREmor Compensation using EYe-tracking), an innovative algorithm designed to mitigate tremors.
• To leverage eye-tracking data for stabilizing cursor movement on multimedia remote controllers.
• To enhance the usability of digital multimedia devices for individuals experiencing tremors.

Main Methods:

• Developed the TRECEY algorithm utilizing eye-tracking data to compensate for tremors.
• Simulated tremors using a custom-built two-axis vibration generator for testing with healthy volunteers.
• Validated the TRECEY system's effectiveness with 10 patients diagnosed with Parkinson's disease.

Main Results:

• TRECEY demonstrated a statistically significant improvement in user performance when interacting with digital multimedia interfaces.
• The eye-tracking-based stabilization effectively compensated for simulated and patient-observed tremors.
• The system showed promise in restoring functional independence for tasks involving digital device control.

Conclusions:

• TRECEY offers a novel technological solution for managing tremors associated with Parkinson's disease.
• Eye-tracking-based cursor stabilization can significantly enhance the interaction capabilities of individuals with motor impairments.
• This technology has the potential to improve the quality of life for Parkinson's patients by facilitating digital engagement.