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ByteTrack: a deep learning approach for bite count and bite rate detection using meal videos in children.

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Title: ByteTrack: a deep learning approach for bite count and bite rate detection using meal videos in children.
Authors: Bhat YR; Department of Nutritional Sciences, Pennsylvania State University, University Park, PA, United States., Keller KL; Department of Nutritional Sciences, Pennsylvania State University, University Park, PA, United States.; Department of Food Science, Pennsylvania State University, University Park, PA, United States., Brick TR; Department of Human Development and Family Studies, Pennsylvania State University, University Park, PA, United States.; Institute of Computational and Data Sciences, Pennsylvania State University, University Park, PA, United States., Pearce AL; Department of Nutritional Sciences, Pennsylvania State University, University Park, PA, United States.
Source: Frontiers in nutrition [Front Nutr] 2025 Oct 03; Vol. 12, pp. 1610363. Date of Electronic Publication: 2025 Oct 03 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S. A Country of Publication: Switzerland NLM ID: 101642264 Publication Model: eCollection Cited Medium: Print ISSN: 2296-861X (Print) Linking ISSN: 2296861X NLM ISO Abbreviation: Front Nutr Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Bhat+YR%22">Bhat YR</searchLink>; Department of Nutritional Sciences, Pennsylvania State University, University Park, PA, United States.<br /><searchLink fieldCode="AU" term="%22Keller+KL%22">Keller KL</searchLink>; Department of Nutritional Sciences, Pennsylvania State University, University Park, PA, United States.; Department of Food Science, Pennsylvania State University, University Park, PA, United States.<br /><searchLink fieldCode="AU" term="%22Brick+TR%22">Brick TR</searchLink>; Department of Human Development and Family Studies, Pennsylvania State University, University Park, PA, United States.; Institute of Computational and Data Sciences, Pennsylvania State University, University Park, PA, United States.<br /><searchLink fieldCode="AU" term="%22Pearce+AL%22">Pearce AL</searchLink>; Department of Nutritional Sciences, Pennsylvania State University, University Park, PA, United States.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+S%2E+A%22">Frontiers Media S. A </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101642264 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2296-861X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222296861X%22">2296861X </searchLink><i>NLM ISO Abbreviation: </i>Front Nutr <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3389/fnut.2025.1610363
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              Text: 2025 Oct 03
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