The Contactless and Remote Physiological Stress Monitoring (CARPS) system is an AI-based tool developed by the Canadian Space Agency that uses advanced machine learning and deep learning techniques to monitor physiological stress levels. The system analyzes facial features and millimeter-wave (mmwave) sensor data to detect and measure stress indicators without requiring physical contact with individuals.
CARPS is currently in development and is designed for use by Government of Canada employees. The system processes health database information and deidentified datasets to train its machine learning models, enabling it to recognize stress patterns and physiological changes. This technology has the potential to support workplace wellness programs and health monitoring initiatives.
As a system that processes personal health information, CARPS involves the collection and analysis of sensitive biometric data. Users should be aware that the system uses facial recognition and sensor-based physiological measurements, and that appropriate privacy protections and data governance measures are in place to protect personal information throughout the monitoring process.
