ArticleProceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies2017
EarBit: Using Wearable Sensors to Detect Eating Episodes in Unconstrained Environments.
Article in Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
39 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Technology to Automatically Record Eating Behavior in Real Life: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Health-Related Indicators Measured Using Earable Devices: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- Rethinking emotional eating: Retrospective and momentary indices of emotional eating represent distinct constructs.Appetite · 2021Trial
- Managing BMI and Emotional Distress Using mHealth: Nationally Representative Survey Study.JMIR mHealth and uHealth · 2026Article
- A Review on Secure Authentication Mechanisms for Mobile Security.Sensors (Basel, Switzerland) · 2025Review
- Central Hemodynamic and Thermoregulatory Responses to Food Intake as Potential Biomarkers for Eating Detection: Systematic Review.Interactive journal of medical research · 2024Review
- Mealtime prediction using wearable insulin pump data to support diabetes management.Scientific reports · 2024Article
- Collecting Self-reported Physical Activity and Posture Data Using Audio-based Ecological Momentary Assessment.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024Article
- HabitSense: A Privacy-Aware, AI-Enhanced Multimodal Wearable Platform for mHealth Applications.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024Article
- Domain-Agnostic Representation of Side-Channels.Entropy (Basel, Switzerland) · 2024Review
- sEMG-based automatic characterization of swallowed materials.Biomedical engineering online · 2024Article
- Experience: Barriers and Opportunities of Wearables for Eating Research.Extended abstracts on Human factors in computing systems. CHI Conference · 2023Article
- Validation of Earphone-Type Sensors for Non-Invasive and Objective Swallowing Function Assessment.Sensors (Basel, Switzerland) · 2022Article
- ActiSight: Wearer Foreground Extraction Using a Practical RGB-Thermal Wearable.Proceedings of the ... IEEE International Conference on Pervasive Computing and Communications. IEEE International Conference on Pervasive Computing and Communications · 2022Article
- Top-Down Detection of Eating Episodes by Analyzing Large Windows of Wrist Motion Using a Convolutional Neural Network.Bioengineering (Basel, Switzerland) · 2022Article
- Improvement of Methodology for Manual Energy Intake Estimation From Passive Capture Devices.Frontiers in nutrition · 2022Article
- Machine Learning for Healthcare Wearable Devices: The Big Picture.Journal of healthcare engineering · 2022Review
- Enhancing Nutrition Care Through Real-Time, Sensor-Based Capture of Eating Occasions: A Scoping Review.Frontiers in nutrition · 2022Article
- Determination of Chewing Count from Video Recordings Using Discrete Wavelet Decomposition and Low Pass Filtration.Sensors (Basel, Switzerland) · 2021Article
- Microstructural changes in human ingestive behavior after Roux-en-Y gastric bypass during liquid meals.JCI insight · 2021 · on this mapObservational
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Chronic and widespread diseases such as obesity, diabetes, and hypercholesterolemia require patients to monitor their food intake, and food journaling is currently the most common method for doing so. However, food journaling is subject to self-bias and recall errors, and is poorly adhered to by patients. In this paper, we propose an alternative by introducing EarBit, a wearable system that detects eating moments. We evaluate the performance of inertial, optical, and acoustic sensing modalities and focus on inertial sensing, by virtue of its recognition and usability performance. Using data collected in a simulated home setting with minimum restrictions on participants' behavior, we build our models and evaluate them with an unconstrained outside-the-lab study. For both studies, we obtained video footage as ground truth for participants activities. Using leave-one-user-out validation, EarBit recognized all the eating episodes in the semi-controlled lab study, and achieved an accuracy of 90.1% and an F
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.