Research Articles
Real-Time Eating Event Detection: Sensor Algorithms, Clinical Validation, and Future Directions for Biomedical Research
This article provides a comprehensive review of real-time eating event detection algorithms, a critical emerging field at the intersection of wearable sensing, machine learning, and personalized health.
Multi-Sensor Fusion for Dietary Intake Assessment: Bridging Wearable Sensors, AI, and Clinical Validation
Traditional dietary assessment methods, such as food diaries and self-reports, are prone to inaccuracies, recall bias, and high user burden, limiting their utility in clinical research and drug development.
From Lab to Life: A Research Framework for Deploying In-Field Eating Detection Systems
This article provides a comprehensive framework for the development and real-world deployment of sensor-based eating detection systems, tailored for biomedical research and clinical applications.
Validating Eating Detection: A Comprehensive Guide to Ground Truth Methods for Biomedical Research
This article provides researchers, scientists, and drug development professionals with a systematic framework for validating eating detection technologies.
Bland-Altman Analysis for Wearable Nutrition Data: A Comprehensive Guide for Validation in Biomedical Research
This article provides a comprehensive guide for researchers and drug development professionals on the application of Bland-Altman analysis for validating wearable technology in nutrition monitoring.
A Comprehensive Framework for Validating Food Intake Wearables: Protocols, Metrics, and Clinical Applications
This article provides a structured validation protocol for wearable sensors designed to monitor food intake, addressing a critical need for standardization in digital nutrition science.
Passive Dietary Monitoring Using Wearables: A Research and Clinical Applications Review
This article provides a comprehensive analysis of passive dietary monitoring using wearable sensor technology, a field rapidly advancing to overcome the limitations of self-reported methods like recall bias and participant...
The Convergence of Precision Nutrition and Wearable Technology: A New Paradigm for Biomedical Research and Therapeutic Development
This article examines the transformative integration of wearable sensor technology with precision nutrition, a field rapidly advancing due to artificial intelligence and multi-omics data.
Multi-Sensor Fusion for Eating Activity Detection: A Researcher's Guide to Technologies, Validation, and Clinical Translation
This article provides a comprehensive analysis of wearable multi-sensor systems for the objective detection and monitoring of eating activities.
Automating Eating Detection: Sensor Technologies and AI for Real-World Clinical and Research Applications
This article provides a comprehensive overview of the current state of automatic eating detection in free-living settings, a field poised to revolutionize nutritional epidemiology, chronic disease management, and behavioral health...