Recognition of cognitive states during simulated human-vehicle interaction from EEG signals.

The project will investigate how common distractions, such as cell phone use, impact drivers’ ability to stay attentive and respond appropriately on the road. Using electroencephalography (or EEG) to monitor brain activity, we will look for patterns indicating attention or fatigue during simulated human-vehicle interaction, and classification algorithms will also be used to recognize these cognitive states. The findings will be crucial in creating more effective driver assistance systems and improving road safety. This inter-institutional collaboration will promote an exchange of knowledge and advanced techniques among researchers. On one hand, expertise in the acquisition and analysis of EEG signals from Tecnológico de Monterrey will be shared. On the other hand, access to specialized resources and knowledge in computational sciences from UBCO will be facilitated.

Faculty Supervisor:

Pourang Irani;Yumiko Sakamoto

Student:

Partner:

Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM)

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Artificial Intelligence; Technology

University:

The University of British Columbia - Okanagan

Program: