Research
ML Learning

ML Learning
Project Research

ECHOS: Enhancing Communication using Holistic Observations and Sensing

Approximately 3.5 million people in the US have Autism Spectrum Disorder (ASD), of which about 30% are nonverbal or minimally verbal (mv)...
Research
Affective Computing

Advance human wellbeing by developing new ways to communicate, understand, and respond to emotion
Publication Research

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.
Project Research

SPRING: A Smart Platform for Research, Intervention, and Neurodevelopmental Growth

SPRING is a custom-built hardware and software platform for children with neuro-differences. The system automates data acquisition, optim...
Post Research

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.
Project Research

Personalized Machine Learning for Autism Therapy

EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a proj...
Publication Research

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.
Publication Research

Multi-SPRING: Facilitating Social Interaction through a Customizable, Multimodal Learning Platform

Johnson, K.T., Ferguson, C.S., Picard, R.W., "Multi-SPRING: Facilitating Social Interaction through a Customizable, Multimodal Learning Platform," International Society for Autism Research (INSAR), Rotterdam, Netherlands, May 2018.
Publication Research

Customizable, Interactive Toy Platform to Enable Motivation-Driven Cognitive and Physical Development in Children Diagnosed with Autism

Johnson, K.T. and Picard, R.W. "Customizable, Interactive Toy Platform to Enable Motivation-Driven Cognitive and Physical Development in Children Diagnosed with Autism or Developmental Disorders," International Meeting for Autism Research (IMFAR), Baltimore, Maryland, May 2016.
Archived
Project Research

Multi-SPRING

OverviewWe have created a new customizable, multi-user research-through-play platform designed to facilitate social skill development for...
Archived