Meal-time and duration monitoring using wearable sensors

摘要

In many recent studies it has been shown that the frequency and duration of meals taken during a day can have significant impacts on human health. Poor meal habits such as skipping breakfast, nighttime eating, and too many eating episodes can increase the risk of obesity. Researchers have often used self-reported questionnaires for analyzing such meal-time and dietary behaviors. Questionnaire-based data collection, however, often suffers from high errors due to reporting subjectivity.