Select BBI Seed Grants – Artificial & Virtual Networks


Learning Age and Gender Adaptive Gait Motor Control-based Emotion Using Deep Neural Networks and Affective Modeling

Detecting and classifying human emotion is one of the most challenging problems at the confluence of psychology, affective computing, kinesiology, and data science. This research examines the role of age and gender on gait-based emotion recognition using deep learning.

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