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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:
Partner:
Architech Solutions Consulting Services Inc
Discipline:
Computer science
Sector:
Professional, scientific and technical services
University:
University of Toronto
Program:
Accelerate
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