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The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy. / Billing, Erik; Belpaeme, Tony; Cai, Haibin; Cao, Hoang-Long; Ciocan, Anamaria; Costescu, Cristina; David, Daniel; Homewood, Robert; Hernandez Garcia, Daniel; Gomez Esteban, Pablo; Liu, Honghai; Nair, Vipul; Matu, Silviu; Mazel, Alexandre; Selescu, Mihaela; Senft, Emmanuel; Thill, Serge; Vanderborght, Bram; Vernon, David; Ziemke, Tom.

In: PLoS ONE, Vol. 15, No. 8, e0236939, 21.08.2020, p. 1-15.

Research output: Contribution to journalArticle

Harvard

Billing, E, Belpaeme, T, Cai, H, Cao, H-L, Ciocan, A, Costescu, C, David, D, Homewood, R, Hernandez Garcia, D, Gomez Esteban, P, Liu, H, Nair, V, Matu, S, Mazel, A, Selescu, M, Senft, E, Thill, S, Vanderborght, B, Vernon, D & Ziemke, T 2020, 'The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy', PLoS ONE, vol. 15, no. 8, e0236939, pp. 1-15. https://doi.org/10.1371/journal.pone.0236939

APA

Billing, E., Belpaeme, T., Cai, H., Cao, H-L., Ciocan, A., Costescu, C., ... Ziemke, T. (2020). The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy. PLoS ONE, 15(8), 1-15. [e0236939]. https://doi.org/10.1371/journal.pone.0236939

Vancouver

Author

Billing, Erik ; Belpaeme, Tony ; Cai, Haibin ; Cao, Hoang-Long ; Ciocan, Anamaria ; Costescu, Cristina ; David, Daniel ; Homewood, Robert ; Hernandez Garcia, Daniel ; Gomez Esteban, Pablo ; Liu, Honghai ; Nair, Vipul ; Matu, Silviu ; Mazel, Alexandre ; Selescu, Mihaela ; Senft, Emmanuel ; Thill, Serge ; Vanderborght, Bram ; Vernon, David ; Ziemke, Tom. / The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy. In: PLoS ONE. 2020 ; Vol. 15, No. 8. pp. 1-15.

BibTeX

@article{b91fd0c1636a4bdb98f85efcd08afea7,
title = "The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy",
abstract = "We present a dataset of behavioral 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 behavior during therapy. This public release of the dataset 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. We release this data with the hope of supporting further data-driven studies towards improved therapy methods as well as a better understanding of ASD in general.",
author = "Erik Billing and Tony Belpaeme and Haibin Cai and Hoang-Long Cao and Anamaria Ciocan and Cristina Costescu and Daniel David and Robert Homewood and {Hernandez Garcia}, Daniel and {Gomez Esteban}, Pablo and Honghai Liu and Vipul Nair and Silviu Matu and Alexandre Mazel and Mihaela Selescu and Emmanuel Senft and Serge Thill and Bram Vanderborght and David Vernon and Tom Ziemke",
year = "2020",
month = "8",
day = "21",
doi = "https://doi.org/10.1371/journal.pone.0236939",
language = "English",
volume = "15",
pages = "1--15",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "8",

}

RIS

TY - JOUR

T1 - The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy

AU - Billing, Erik

AU - Belpaeme, Tony

AU - Cai, Haibin

AU - Cao, Hoang-Long

AU - Ciocan, Anamaria

AU - Costescu, Cristina

AU - David, Daniel

AU - Homewood, Robert

AU - Hernandez Garcia, Daniel

AU - Gomez Esteban, Pablo

AU - Liu, Honghai

AU - Nair, Vipul

AU - Matu, Silviu

AU - Mazel, Alexandre

AU - Selescu, Mihaela

AU - Senft, Emmanuel

AU - Thill, Serge

AU - Vanderborght, Bram

AU - Vernon, David

AU - Ziemke, Tom

PY - 2020/8/21

Y1 - 2020/8/21

N2 - We present a dataset of behavioral 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 behavior during therapy. This public release of the dataset 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. We release this data with the hope of supporting further data-driven studies towards improved therapy methods as well as a better understanding of ASD in general.

AB - We present a dataset of behavioral 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 behavior during therapy. This public release of the dataset 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. We release this data with the hope of supporting further data-driven studies towards improved therapy methods as well as a better understanding of ASD in general.

U2 - https://doi.org/10.1371/journal.pone.0236939

DO - https://doi.org/10.1371/journal.pone.0236939

M3 - Article

VL - 15

SP - 1

EP - 15

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 8

M1 - e0236939

ER -

ID: 52790290