Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy

no code implementations • 4 Feb 2018 • Ognjen Rudovic, Jaeryoung Lee, Miles Dai, Bjorn Schuller, Rosalind Picard

To tackle the heterogeneity in behavioral cues of children with autism, we use the latest advances in deep learning to formulate a personalized machine learning (ML) framework for automatic perception of the childrens affective states and engagement during robot-assisted autism therapy.

BIG-bench Machine Learning