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
Download data
Citation
Creator/Principal investigator(s)
Erik Billing - University of Skövde, School of Informatics
Research principal
University of Skövde
- The School of Informatics
Description
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.
All data in this dataset is stored in JavaScript Object Notation (JSON) and can be d
All data in this dataset is stored in JavaScript Object Notation (JSON) and can be downloaded here as DREAMdataset.zip. A much smaller archive comprising example data recorded from a single session is provided in DREAMdata-example.zip. The JSON format is specified in detail by the JSON Schema (dream.1.1.json) provided with this dataset.
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
No
Language
Unit of analysis
Population
61 Romanian children, age 3 to 6 years, diagnosed with autism spectrum disorder (ADOS-G)
Study design
Experimental study
Randomised controlled trial (RCT)
Sampling procedure
Time period(s) investigated
2017-03-01 – 2018-08-31
Variables
12
Response rate/participation rate
61%
Responsible department/unit
The School of Informatics
Contributor(s)
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
SoftBank Robotics
Ethics Review
Other - Ref. 30664/February 10th, 2017: Scientific Council of Babes-Bolyai University in Cluj-Napoca, Romania
Research area
Computer vision and robotics (autonomous systems) (Standard för svensk indelning av forskningsämnen 2011)
Applied psychology (Standard för svensk indelning av forskningsämnen 2011)
Keywords
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.
DOI:
https://doi.org/10.1109/MRA.2019.2904121
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.
DOI:
https://doi.org/10.1109/JSEN.2018.2877662
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.
DOI:
https://doi.org/10.1515/pjbr-2017-0002
If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.
