Decoding Children’s Social Behavior
- Autori: Rehg, J.; Abowd, G.; Rozga, A.; Romero, M.; Clements, M; Sclaroff, S.; Essa, I; Ousley, O.; Li, Y.; Kim, C.; Rao, H.; Kim, J.; Lo Presti, L.; Zhang, J.; Lantsman, D.; Bidwell, J.; Ye, Z.
- Anno di pubblicazione: 2013
- Tipologia: eedings
- OA Link: http://hdl.handle.net/10447/97700
Abstract
We introduce a new problem domain for activity recog- nition: the analysis of children’s social and communica- tive behaviors based on video and audio data. We specif- ically target interactions between children aged 1–2 years and an adult. Such interactions arise naturally in the di- agnosis and treatment of developmental disorders such as autism. We introduce a new publicly-available dataset con- taining over 160 sessions of a 3–5 minute child-adult inter- action. 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 de- scribe 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.