Artificial & Virtual Networks

BBI investigators devise computing systems based on biological networks to solve complex problems such as visual perception and the optimization of algorithms for big data. Meet our investigators in this area and discover BBI seed projects that employ this level of analysis below.

BBI Investigators: Artificial & Virtual Networks

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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