MMASD Dataset

Multi-Modal Affect Analysis for Children with ASD

           
Team Dr. Leila Barmaki, Dr. Anjana Bhat, Dr. Kenneth Barner, Dr. Zhang Guo, and Jicheng Li   
Project term 2020 - Present
Funder Amazon Research Awards
Partner

University of Delaware AI Center for Excellence

MMASD Dataset

The Multimodal ASD Dataset information can be accessible via GitHub. MMASD Datadet           

Description

In this project, we analyze social behavior assessment of children with Autism Spectrum Disorder during play therapy sessions. The project public access dataset and related publications are listed below.

Publications

Guo, Z., Chheang, V., Li, J., Kenneth E. Barner, Anjana Bhat, and Barmaki, R. 2023, June. Social Visual Behavior Analytics for Autism Therapy of Children Based on Automated Mutual Gaze Detection. In ACM/IEEE International Conference On Connected Health: Applications, Systems And Engineering Technologies (CHASE ’23). 
Li, J., Bhat, A. and Barmaki, R., 2022, November. Pose Uncertainty Aware Movement Synchrony Estimation via Spatial-Temporal Graph Transformer. In Proceedings of the 2022 International Conference on Multimodal Interaction (pp. 73-82). 
Guo, Z., Kim, K., Bhat, A. and Barmaki, R., 2021. An Automated Mutual Gaze Detection Framework for Social Behavior Assessment in Therapy for Children with Autism. In Proceedings of the 2021 International Conference on Multimodal Interaction (pp. 444-452). 
Li, J., Bhat, A. and Barmaki, R., 2021, October. Improving the Movement Synchrony Estimation with Action Quality Assessment in Children Play Therapy. In Proceedings of the 2021 International Conference on Multimodal Interaction (pp. 397-406).   
Guo, Z. and Barmaki, R., 2020. Deep neural networks for collaborative learning analytics: Evaluating team collaborations using student gaze point prediction. Australasian Journal of Educational Technology, 36(6), pp.53-71.

Print Friendly, PDF & Email