Video-oculography eye tracking towards clinical applications: A review

Area of Science:

• Neurology
• Biomedical Engineering
• Ophthalmology

Background:

• Neurological diseases often manifest with oculomotor alterations, making eye movement analysis crucial for assessing brain function.
• Video-oculography is a primary method for recording and analyzing eye movements, offering insights into neurological integrity.
• Integrating head movement measurement enhances diagnostic capabilities for various neurological conditions.

Purpose of the Study:

• To review and compare existing eye tracking video-oculography techniques.
• To analyze the significance of measuring slight head movements in disease diagnosis.
• To evaluate different eye tracking methods based on system complexity, accuracy, and adaptability.

Main Methods:

• Comparison of appearance-based and feature-based eye tracking methods.
• Subdivision of feature-based methods into 2D-mapping and 3D model-based approaches.
• Evaluation of methods considering system complexity, accuracy, head movement measurement, and environmental conditions.

Main Results:

• Detailed comparison of the advantages and disadvantages of different eye tracking techniques.
• Assessment of the suitability of various methods for disease diagnosis.
• Identification of key factors influencing the performance of eye tracking systems.

Conclusions:

• Eye tracking video-oculography is a valuable tool for neurological disease diagnosis.
• The choice of method depends on specific diagnostic needs, balancing accuracy, complexity, and head movement tracking.
• Further research is needed to address open challenges and explore future directions in eye tracking technology for medical applications.