URI | http://purl.tuc.gr/dl/dias/D1444391-5952-4B21-A0DA-6FEDBBD6413A | - |
Identifier | https://ieeexplore.ieee.org/document/7953119/ | - |
Identifier | https://doi.org/10.1109/ICASSP.2017.7953119 | - |
Language | en | - |
Extent | 5 pages | en |
Title | Engagement detection for children with autism spectrum disorder | en |
Creator | Chorianopoulou Arodami | en |
Creator | Χωριανοπουλου Αροδαμη | el |
Creator | Tzinis Efthymios | en |
Creator | Iosif Elias | en |
Creator | Papoulidi Asimenia | en |
Creator | Papailiou Christina | en |
Creator | Potamianos Alexandros | en |
Creator | Ποταμιανος Αλεξανδρος | el |
Publisher | Institute of Electrical and Electronics Engineers | en |
Content Summary | Children with Autism Spectrum Disorder (ASD) face several difficulties in social communication. Hence, analyzing social interaction can provide insight on their social and cognitive skills. In this paper, we investigate the degree of engagement of children in interactions with their parents. Features derived from both participants including acoustic, linguistic and dialogue act features are explored. The effect of visual cues is also investigated. We experimented on the task of engagement detection using video-recorded sessions consisting of interactions of typically developing (TD) and ASD children. Results show that engagement is easier to predict for TD children than for ASD children, and that the parent's actions/movements are better predictors of the child's degree of engagement. | en |
Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
Type of Item | Conference Full Paper | en |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2018-05-08 | - |
Date of Publication | 2017 | - |
Subject | Autism spectrum disorder | en |
Subject | Child engagement | en |
Subject | Engagement detection | en |
Bibliographic Citation | A. Chorianopoulou, E.Tzinis, E. Iosif, A. Papoulidi, C. Papailiou and A. Potamianos, "Engagement detection for children with autism spectrum disorder," in IEEE International Conference on Acoustics, Speech and Signal Processing, 2017, pp. 5055-5059. doi: 10.1109/ICASSP.2017.7953119 | en |