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. |
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| 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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| ISSN: | 2296-861X |
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| DOI: | 10.3389/fnut.2025.1610363 |
