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Virtual reality / Multimodal interaction / Vision / Mind / Cognitive science / Eye tracking / Gesture recognition / Gaze / Eye movement / Human–computer interaction / Eye / Optics


Detecting Hands in Children’s Egocentric Views to Understand Embodied Attention during Social Interaction Sven Bambach†, John M. Franchak, David J. Crandall†, Chen Yu {sbambach, jmfranch, djcran, chenyu}@indiana.ed
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Document Date: 2014-08-03 00:38:06


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File Size: 2,24 MB

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Company

Oxford University Press / Tyler / /

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Facility

University Bloomington / Though complex / University Office / University Department / /

IndustryTerm

head-mounted eye tracking systems / attentional systems / Data mining / hand tracking algorithm / egocentric hand-tracking algorithm / remote eye tracking systems / perceptual and cognitive systems / /

Organization

School of Informatics and Computing / National Institute of Health / National Science Foundation / Cognitive Science Society / Indiana University office of the Vice / Indiana University Department of Psychological and Brain Sciences / Oxford University / National Academy of Sciences / Indiana University / Pattern Analysis and Machine Intelligence / /

Person

David J. Crandall / Mundy / Sven Bambach / Chen Yu / John M. Franchak / Foulsham / /

Position

D. J. / Walker / head / /

PublishedMedium

Proceedings of the National Academy of Sciences / IEEE Transactions on Pattern Analysis and Machine Intelligence / The Quarterly Journal / Behavioral and Brain Sciences / /

Technology

egocentric hand-tracking algorithm / hand tracking algorithm / Discussion The hand tracking algorithm / clustering algorithm / Data mining / gesture recognition / /

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