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Deep Learning Models for Engagement Estimation from Face Images (Python)

by Ognjen (Oggi) Rudovic

Aug. 8, 2018

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https://github.com/yuriautsumi/CultureNet-Autism
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Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach

Rudovic, O., Zhang, M, Schuller, B., Picard, R. "Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach", In 2019 International Conference on Multimodal Interaction (ICMI ’19), October 14–18, 2019, Suzhou, China. ACM, New York, NY, USA.
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EngageME chosen as an EU Research success story

The technology being developed can enable personalized interactions with an autistic child, helping therapists to engage their attention.
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Measuring Engagement in Robot-Assisted Autism Therapy: A Cross-Cultural Study

Rudovic, O., Lee, J., Mascarell-Maricic, L., Schuller, B., Picard, R. "Measuring Engagement in Robot-assisted Autism Therapy: A Cross-cultural Study," Frontiers in Robotics and AI, July 2017.
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Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy

Rudovic, O., Lee, J., Dai, M., Schuller, B. , Picard, R. W., " Personalized machine learning for robot perception of affect and engagement in autism therapy," Science Robotics, June 2018.