Assisting people with Nystagmus through image stabilization: Using an ARX model to overcome processing delays.

Area of Science:

• Ophthalmology
• Biomedical Engineering
• Assistive Technology

Background:

• Pathological nystagmus involves involuntary eye movements that impair visual acuity.
• Current treatments for nystagmus offer only partial improvement.
• Existing assistive technologies are general and do not specifically address nystagmus impact.

Purpose of the Study:

• To present conceptual research and feasibility studies for a novel assistive technology to reduce the impact of pathological nystagmus.
• To explore digital Retinal Image Stabilization (dRIS) as a method to stabilize retinal images.

Main Methods:

• Conceptualizing and studying the feasibility of dRIS technology.
• Implementing gaze contingent display technology to synchronize digital images with eye movements.
• Developing an identification and validation process for recorded eye movements to predict and compensate for processing delays.

Main Results:

• Demonstrated the potential of dRIS to stabilize the image on the retina by synchronizing digital image movement with involuntary eye movements.
• Validated a process for identifying and predicting eye movements to mitigate system delays.

Conclusions:

• Digital Retinal Image Stabilization using gaze contingent displays shows promise as a specific assistive technology for pathological nystagmus.
• Further research and development are needed to refine the prediction and synchronization mechanisms for practical application.