Authors: | Papaeliou, Christina Maragos, P. Efthymiou, Niki Anagnostopoulou, D. |
Issue Date: | 1-Jan-2021 |
Conference: | 2021 IEEE International Conference on Robotics and Automation, 30 May-05 June 20201, Xi’an, China |
Book: | Proceedings of the 2021 IEEE International Conference on Robotics and Automation |
Volume: | 2021-May |
Abstract: | Estimating the engagement of children is an essential prerequisite for constructing natural Child-Robot Interaction. Especially in the case of children with Autism Spectrum Disorder, monitoring the engagement of the other party allows robots to adjust their actions according to the educational and therapeutic goals in hand. In this work we delve into engagement estimation with a focus on children with autism spectrum disorder. We propose deep convolutional architectures for engagement estimation that outperform previous methods, and explore their performance under variable conditions, in four databases depicting ASD and TD children interacting with robots or humans. |
ISBN: | 9781728190778 |
ISSN: | 10504729 |
DOI: | 10.1109/ICRA48506.2021.9561687 |
URL: | https://www.scopus.com/record/display.uri?eid=2-s2.0-85122894272&origin=inward&txGid=e4dcb06b13ef49e039618f886757b701 |
URI: | https://uniwacris.uniwa.gr/handle/3000/1592 |
Type: | Conference Paper |
Department: | Department of Early Childhood Education and Care |
School: | School of Administrative, Economics and Social Sciences |
Affiliation: | University of West Attica (UNIWA) |
Appears in Collections: | Book Chapter / Κεφάλαιο Βιβλίου |
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