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AI-Assisted Physiological Stress Detection from Facial and Radar Data

Accountable

Canadian Space Agency (CSA)

Functional Modes

Sensing (Perceptive AI)

Human decides

Purpose

Healthcare

Input Dataset

Biometric Identifiable data

Algorithm or Model

Computer Vision

Output Dataset

A recommendation or prediction Anonymized data

Details

This system uses machine learning to estimate physiological stress in individuals by analysing facial video and millimetre-wave (mmWave) radar signals — all without physical contact. It is being developed for use with Government of Canada employees by a vendor (Thales) on behalf of the Canadian Space Agency. Because it processes facial imagery and health-related signals, it involves personal information, and the use of AI is disclosed to users.

Sources for this disclosure

AI register
Government of Canada AI Register — CARPS (2526-CSA-ASC-001)
Canadian Space Agency, Government of Canada AI and Data Use Register, entry 2526-CSA-ASC-001.

This disclosure was drafted with AI assistance.

Schema: ai@2026-05-06-beta

Government of Canada – DTPR AI Register

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AI-Assisted Physiological Stress Detection from Facial and Radar Data

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Sources for this disclosure

Government of Canada – DTPR AI Register