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Related Concept Videos

Parkinson's Disease: Treatment01:24

Parkinson's Disease: Treatment

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Neurodegenerative disorders, such as Parkinson's Disease (PD), involve the gradual and irreversible destruction of neurons in particular brain areas. These disorders exhibit standard features like proteinopathies, selective vulnerability of some neurons, and an interaction of intrinsic properties, genetics, and environmental influences in neural injury.
Parkinson's Disease is primarily a result of the loss of dopaminergic neurons in the substantia nigra pars compacta. The cornerstone of...
963

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Updated: Jan 12, 2026

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking
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Introducing TRECEY: An algorithm for tremor compensation using eye-tracking during multimedia remote controller

Ritam Ghosh1, Callahan Henry2, Mahrukh Tauseef1

  • 1Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA.

Assistive Technology : the Official Journal of RESNA
|November 5, 2025
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Summary

Parkinson's disease tremors hinder daily tasks. A new eye-tracking algorithm, TRECEY, stabilizes remote control cursors, significantly improving interaction with digital devices for patients with Parkinson's disease.

Keywords:
AccessibilityParkinson’s diseaseassistive technologyeye-trackingtremor stabilization

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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.