Human behaviour analysis using affective computing

The purpose of this project is to develop methodologies for automatic human emotion detection from video that can work accurately in uncontrolled, real-world, environments. Emotional activity will be assessed from signals such as the heart-rate, blinking rate or the diameter of the eye?s pupil. Architech Labs conducts research in the areas of machine learning, computer vision and human-computer interaction.
Automatic emotion detection is a technology of great interest to Architech?s clients in the Retail and Healthcare space.

Faculty Supervisor:

David Fleet

Student:

Sara Sabour

Partner:

Architech Solutions Consulting Services Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

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