Remote Life Signs and Self-Harming Behaviors Monitoring System

Suicide is one of the most important causes of deaths in the prison environment, both in Canada and internationally. Rates of attempts of suicide and self-harm have been on the rise in recent years. To address this problem, there is a real and immediate need for an automated, private, and effective monitoring system that can detect attempts of suicide and self-harm in real-time. This project aims to develop a first phase of a monitoring system by assessing vital signs as well as body configurations through sensors and state-of-the-art artificial intelligence algorithms to detect behavioral patterns that can be classified into gestures of interest. Set parameters are defined for triggering alarms when the conditions are met in order to assist the personnel responsible for the health and safety of the inmates. The system is also designed to respect the inmates’ privacy and confidential information.

Faculty Supervisor:

Pierre Payeur

Student:

Partner:

Spectronix Inc

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Information and Communications Technology; Public Service, Policy, and Governance

University:

University of Ottawa

Program: