The DREAM Dataset: Behavioural data from robot enhanced therapies for children with autism spectrum disorder
SND-ID: snd1156-1. Version: 1. DOI: https://doi.org/10.5878/17p8-6k13
Erik Billing - University of Skövde, School of Informatics
University of Skövde - The School of Informatics
This dataset comprise behavioural data recorded from 61 children diagnosed with Autism Spectrum Disorders (ASD). The data was collected during a large-scale evaluation of Robot Enhanced Therapy (RET). The dataset covers over 3000 therapy sessions and more than 300 hours of therapy. Half of the children interacted with the social robot NAO supervised by a therapist. The other half, constituting a control group, interacted directly with a therapist. Both groups followed the Applied Behavior Analysis (ABA) protocol. Each session was recorded with three RGB cameras and two RGBD (Kinect) cameras, providing detailed information of children's behaviour during therapy. This public release of the dataset noes not include video recordings or other personal information. Instead, it comprises body motion, head position and orientation, and eye gaze variables, all specified as 3D data in a joint frame of reference. In addition, metadata including participant age, gender, and autism diagnosis (ADOS) variables are included.
JSON data can be read using standard libraries in most programming languages. Basic instructions on how to load and plot the data using Python and Jupyter are available in DREAMdata-documentation.zip attached with this dataset. Please refer to https://github.com/dream2020/data for more details.
The DREAM Dataset can be visualized using the DREAM Data Visualizer, an open source software available at https://github.com/dream2020/DREAM-data-visualizer. The DREAM RET System that was used for collecting this dataset is available at https://github.com/dream2020/DREAM. Show less..
Data contains personal data
Unit of analysis
61 Romanian children, age 3 to 6 years, diagnosed with autism spectrum disorder (ADOS-G)
Randomised controlled trial (RCT)
Time period(s) investigated
2017-03-01 – 2018-08-31
Response rate/participation rate
The School of Informatics
University of Plymouth, School of Engineering, Computing and Mathematics
Universitatea Babes-Bolyai, Department of Clinical Psychology and Psychotherapy
University of Portsmouth, School of Computing
Vrije Universiteit Brussel, Department of Mechanical Engineering
- Funding agency: European Commission
- Funding agency's reference number: 611391
Other - Ref. 30664/February 10th, 2017: Scientific Council of Babes-Bolyai University in Cluj-Napoca, Romania
Cao, H. L., Esteban, P., Bartlett, M., Baxter, P. E., Belpaeme, T., Billing, E., … Ziemke, T. (2019). Robot-Enhanced Therapy: Development and Validation of a Supervised Autonomous Robotic System for Autism Spectrum Disorders Therapy. IEEE Robotics and Automation Magazine.
Cai, H., Fang, Y., Ju, Z., Costescu, C., David, D., Billing, E. A., … Liu, H. (2019). Sensing-enhanced Therapy System for Assessing Children with Autism Spectrum Disorders: A Feasibility Study. IEEE Sensors Journal, 9(4), 1508–1518.
Esteban, P. G., Baxter, P., Belpaeme, T., Billing, E. A., Cai, H., Cao, H., … Ziemke, T. (2017). How to Build a Supervised Autonomous System for Robot-Enhanced Therapy for Children with Autism Spectrum Disorder. Paladyn, Journal of Behavioral Robotics, 8(1), 18–38.
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