Publication | Closed Access
Food Watch: Detecting and Characterizing Eating Episodes through Feeding Gestures
25
Citations
19
References
2017
Year
Unknown Venue
NutritionEngineeringMachine LearningWearable TechnologyCommunicationObesity PreventionObesityBody CompositionPattern RecognitionFood WatchPersonalized NutritionHealthcare CostsPublic HealthMultimodal Human Computer InterfaceBehavioral SciencesPreventable Chronic DiseaseObesity ManagementEating EpisodeGesture RecognitionComputer VisionEye TrackingData-driven PredictionHealth MonitoringActivity Recognition
Obesity, caused primarily by overeating, is a preventable chronic disease yielding staggering healthcare costs. To detect overeating passively, a machine learning framework was designed to detect and accurately count the number of feeding gestures during an eating episode to characterize each eating
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