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Eating behavior is a key factor for nutritional intake and plays a significant role in the development of eating disorders and obesity. The standard methods to detect eating behavior events (i.e., bites and chews) from video recordings rely on manual annotation, which lacks objective assessment and standardization. Yet, video recordings of eating episodes provide a non-invasive and scalable source for automation. Here, we present a rule-based system to count bites automatically from video recordings with 468 3D facial key points. We tested the performance against manual annotation in 164 videos from 15 participants. The system can count bites with 79% accuracy when annotation is available, and 71.4% when annotation is unavailable. The system showed consistent performance across varying food textures. Eating behavior researchers can use this automated and objective system to replace manual bite count annotation, provided the system's error is acceptable for the purpose of their study. Utilizing our approach enables real-time bite counting, thereby promoting interventions for healthy eating behaviors. Future studies in this area should explore rule-based systems and machine learning methods with 3D facial key points to extend the automated analysis to other eating events while providing accuracy, interpretability, generalizability, and low computational requirements.
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11141395 | PMC |
http://dx.doi.org/10.3389/fnut.2024.1343868 | DOI Listing |
Cureus
November 2024
Internal Medicine, Weiss Memorial Hospital, Chicago, USA.
Human granulocytic anaplasmosis (HGA) is transmitted by the black-legged tick and presents with fever, thrombocytopenia, leukocytopenia, and elevated transaminases. If left untreated, HGA can progress to hemophagocytic lymphohistiocytosis (HLH), which can be fatal. Here, we discuss a case of a woman diagnosed with anaplasmosis who was treated promptly.
View Article and Find Full Text PDFCase Rep Neurol
October 2024
Department of Neurology, Alrijne Ziekenhuis, Leiderdorp, The Netherlands.
Introduction: is a Gram-negative bacterium found in the oral flora of dogs and cats, transmitted to humans through bites, licks, or scratches. Infections can lead to severe manifestations, including meningitis, particularly in immunocompromised individuals.
Case Presentation: A 46-year-old immunocompetent man presented with somnolence, headache, and fever after being licked by his dog.
Insects
September 2024
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), UMR INTERTRYP, Bangkok 10900, Thailand.
In addition to blood pathogen transmission, insects of the order Diptera affect livestock through visual and contact harassment; blood-feeders are responsible for painful bites and blood despoliation, generating behavioral modifications, anemia, and production losses. Knowledge of their economic impact is a basis for cost-effective control. Here, we measured the global impact of diptera insects by comparing two batches of six feeder cattle, one in the open air and the other protected by a mosquito net.
View Article and Find Full Text PDFJ Med Virol
October 2024
Departamento de Entomologia, Instituto Aggeu Magalhães (IAM), Fundação Oswaldo Cruz (Fiocruz/PE), Recife, Brazil.
Toxicon
November 2024
Department of Emergency Medicine, Yichang Central People's Hospital, Yichang, 443003, Hubei, China; Department of Critical Care Medicine, Yichang Central People's Hospital, Yichang, 443003, Hubei, China; The First College of Clinical Medical Science, China Three Gorges University, Yichang, 443003, Hubei, China. Electronic address:
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