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Updated: Jan 21, 2026
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Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
Published on: February 19, 2021
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Measuring and Localizing Individual Bites Using a Sensor Augmented Plate During Unrestricted Eating for the Aging
IEEE Journal of Biomedical and Health Informatics
|August 6, 2019
Summary
This study introduces an automated plate system to monitor food intake in older adults, improving malnutrition prevention. The system accurately estimates food consumption per plate section, overcoming limitations of traditional dietary assessment tools.
Area of Science:
- Gerontology
- Biomedical Engineering
- Nutritional Science
Background:
- Traditional food intake monitoring tools (questionnaires, diaries) are often inadequate for the aging population due to time constraints and manual data entry errors.
- Malnutrition is a significant concern in the elderly, necessitating accurate and user-friendly monitoring methods.
- Existing methods struggle with adherence and accuracy, particularly for older adults who may have cognitive or physical limitations.
Purpose of the Study:
- To present an automated plate system for objective food intake measurement in aging adults.
- To develop and evaluate a bite detection algorithm for real-time food consumption analysis.
- To assess the system's accuracy in estimating food quantity consumed from different plate compartments.
Main Methods:
- Development of a plate system with integrated weight sensors on a base station to measure food consumption.
- Implementation of a bite detection algorithm using a random forest decision tree classifier.
- Training and validation of the algorithm using data from 24 aging adults (ages 52-95) consuming a meal with chopsticks.
Main Results:
- The bite detection algorithm achieved a precision of 0.78 and a recall of 0.76 in identifying bites.
- The system accurately estimated the amount of food consumed per compartment, with an average error of (8 ±8)% of the portion size.
- The automated plate system demonstrated feasibility for objective food intake monitoring in the target demographic.
Conclusions:
- The automated plate system offers a promising, objective alternative to traditional self-reporting methods for monitoring food intake in aging adults.
- Accurate food intake data can aid in the early detection and prevention of malnutrition in this vulnerable population.
- Further research can refine the system for broader application in clinical and home settings for nutritional assessment.
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