Detecting Hands in Children's Egocentric Views to Understand Embodied Attention during Social Interaction

Sven BambachIndiana University, Bloomington, Indiana, USA
John FranchakIndiana University, Bloomington, Indiana, USA
David CrandallIndiana University, Bloomington, Indiana, USA
Chen YuIndiana University, Bloomington, Indiana, USA

Abstract

Understanding visual attention in children could yield insight into how the visual system develops during formative years and how children's overt attention plays a role in development and learning. We are particularly interested in the role of hands and hand activities in children's visual attention. We use head-mounted cameras to collect egocentric video and eye gaze data of toddlers during playful social interaction with their parents, and developed a computer vision system to track and label different hands within the child's field of view. We report detailed results on appearance frequencies and spatial distributions of parents' and children's hands both in the child's field of view and as the target of the child's attentional fixation.

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Detecting Hands in Children's Egocentric Views to Understand Embodied Attention during Social Interaction (2.2 MB)



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