Smart Sensing for Dietary Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 850
Special Issue Editors
Interests: biomedical signal and image processing; wearable electronic devices; the implementation of mobile technology in healthcare
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
An unhealthy diet is associated with an increased risk of a variety of chronic diseases, such as obesity, type 2 diabetes, and cardiovascular diseases. To promote a healthy diet and improve nutritional interventions, it is essential to obtain objective knowledge about the dietary patterns of people in real life. Recent advancements in sensing technology have led to the use of mobile/wearable devices and other sensors for the real-time acquisition of food ingestion data. Advanced computational algorithms, such as deep learning, have enabled not only quantitative measurements of nutrient and calorie intake but also the evaluation of personal dietary patterns, including meal times, meal frequency, and eating environments (e.g., eating alone or with others, at home, or at a restaurant).
This Special Issue covers the design, development, and application of dietary monitoring sensors and their associated data processing algorithms and software. Specific topics include, but are not limited to, the following: (1) camera-based sensors that capture images of meals or scan barcodes to track food consumption; (2) wrist-worn motion sensors designed to detect eating-related hand/arm movements and patterns; (3) microphones and piezoelectric-based sensors to monitor chewing sounds or swallowing patterns; (4) noninvasive, minimally invasive, and implantable biosensors measuring physiological parameters (e.g., blood glucose levels) that provide dietary information; (5) smart tables and utensils embedded with sensors that measure food portion sizes and eating pace; and (6) Internet of Things (IoT) technology that connects kitchen appliances, such as refrigerators and cooking stoves/ovens, facilitating the study of food supply and consumption patterns.
We encourage submissions that explore the critical design and development of dietary monitoring systems for both scientific dietary study and real-world applications in people's daily lives. Contributions focusing on either or both hardware and software aspects are welcome.
Dr. Wenyan Jia
Dr. Yuhao Chen
Guest Editors
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Keywords
- wearable device
- smart sensor
- IoT system
- sensing technology
- dietary pattern
- meal frequency and timing
- dietary assessment
- dietary data processing
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