Decoding children's social behavior
2013 (English)In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society, 2013, 3414-3421 p.Conference paper (Refereed)
We introduce a new problem domain for activity recognition: the analysis of children's social and communicative behaviors based on video and audio data. We specifically target interactions between children aged 1-2 years and an adult. Such interactions arise naturally in the diagnosis and treatment of developmental disorders such as autism. We introduce a new publicly-available dataset containing over 160 sessions of a 3-5 minute child-adult interaction. In each session, the adult examiner followed a semi-structured play interaction protocol which was designed to elicit a broad range of social behaviors. We identify the key technical challenges in analyzing these behaviors, and describe methods for decoding the interactions. We present experimental results that demonstrate the potential of the dataset to drive interesting research questions, and show preliminary results for multi-modal activity recognition.
Place, publisher, year, edition, pages
IEEE Computer Society, 2013. 3414-3421 p.
, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919
Activity recognition, Developmental disorders, Inter-action protocols, Research questions, Semi-structured, Social and communicative behavior, Social behavior, Technical challenges
Other Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-139928DOI: 10.1109/CVPR.2013.438ISI: 000331094303062ScopusID: 2-s2.0-84887367799OAI: oai:DiVA.org:kth-139928DiVA: diva2:688599
26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013; Portland, OR; United States; 23 June 2013 through 28 June 2013
QC 201401172014-01-172014-01-152016-04-07Bibliographically approved