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Sensing Technology for Monitoring Food intake : An Updated Systematic review of recent developments

Hanraads, Daan (2025) Sensing Technology for Monitoring Food intake : An Updated Systematic review of recent developments.

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Abstract:Monitoring food intake is essential for understanding dietary patterns, managing health conditions, and supporting personalized coaching. Traditional methods often rely on self-reporting, which is labor-intensive, prone to bias, and frequently inaccurate. Sensing technologies provide a promising solution by automating and improving the accuracy of this process. This study presents an updated systematic review of sensing technologies for monitoring food intake, focusing on studies published after 2020. A total of 101 articles were reviewed, with 50 studies meeting the inclusion criteria. The review categorizes sensing technologies based on their principles (e.g., motion, vision), sensor locations (e.g., wrist, external), and eating phases (e.g., ingestion, oral processing). Key findings reveal that most studies focus on detecting when food intake occurs, while what and how much dimensions are less frequently studied. Motion-based sensing methods remain the most commonly used, but the use of combinations of sensing methods has increased in recent years. This review provides a structured overview of advancements in food intake monitoring, including a comprehensive table summarizing the settings, validation procedures, and other details of the included studies. These findings offer valuable insights for future research and the development of more accurate and accessible sensing technologies.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/105045
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