Saccade Concussion Diagnosis System

The underlying technology will leverage artificial intelligence (AI) to analyze oculomotor (eye movement) data to learn and extract human translatable features/symptoms of concussion. The software is computationally light-weight that is capable of running on portable hardware with minimal computational power. The intern will examine the system’s commercialization by conducting interviews with potential customers and identifying the additional critical features needed by end-users. The intern will also research a potential decision-making framework that will help end-users determine if additional medical attention is required. The research project will provide a complete working beta prototype that the partner organization can demo to potential customers. A business plan will also be provided to the partner organization to outline the communization of the saccadic concussion diagnosis system.

Faculty Supervisor:

Alireza Sadeghian

Student:

Alex Dela Cruz

Partner:

Incubate Innovate Network of Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Ryerson University