Neurophysiological AI models for training of public safety officers under high stress and mental load

Psychological stress could be an important indicator of comfort with a task, particularly for training in safety-critical
fields such as public safety. Continuous stress monitoring emerges as a valuable tool for improving and
individualizing training, offering instructors a more comprehensive understanding of each student’s overall task
comfort and enabling timely interventions based on stress levels at specific moments. SensorHub is a multimodal
human state monitoring platform developed by Thales, which includes stress and mental workload modeling in
near real-time. The objective of this internship is to develop and validate models based on the data collected with
a specific population (public safety officers as they are under high stress and mental workload) who have
undergone resilience training that is known to affect physiological signals.

Faculty Supervisor:

Tiago H Falk

Student:

Partner:

Thales Recherche et Technologie

Discipline:

Engineering

Sector:

Management of companies and enterprises; Manufacturing; Professional, scientific and technical services

University:

Université du Québec : Institut national de la recherche scientifique

Program: