Traditional cognitive testing for detecting cognitive impairment can be inaccessible, expensive, and time consuming. This project aims to develop an automated online computerized neuropsychological testing (CNT) system for rapidly tracking an individual’s cognitive performance throughout the user’s daily or weekly schedule in an unobtrusive way. By utilizing embedded microsensors within tablet devices, the proposed context-aware system will capture ambient and behavioral data pertinent to the real-world contexts and times of testing to compliment psychometric results, by providing insight into the contextual factors relevant to the user’s testing efficacy and performance.
Our primary objectives for the project will be to:
- Develop an accessible, dynamic, online CNT system capable of capturing contextual data during testing and tracking temporal variations in the user’s test performance.
- Develop an information fusion system capable of capturing and analyzing ambient data from different sources during testing.
Researchers: Sean Smith, Breanna Baltaxe, Alex Cabral, Brookelyn Mcjunkin, Bronte Brillantes, Joshua Lopez, Trevor Parker