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Toward a Wearable Sensor for Eating Detection

Published: 19 June 2017 Publication History

Abstract

Researchers strive to understand eating behavior as a means to develop diets and interventions that can help people achieve and maintain a healthy weight, recover from eating disorders, or manage their diet and nutrition for personal wellness. A major challenge for eating-behavior research is to understand when, where, what, and how people eat. In this paper, we evaluate sensors and algorithms designed to detect eating activities, more specifically, when people eat. We compare two popular methods for eating recognition (based on acoustic and electromyography (EMG) sensors) individually and combined. We built a data-acquisition system using two off-the-shelf sensors and conducted a study with 20 participants. Our preliminary results show that the system we implemented can detect eating with an accuracy exceeding 90.9% while the crunchiness level of food varies. We are developing a wearable system that can capture, process, and classify sensor data to detect eating in real-time.

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Cited By

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  • (2024)OpenEarable ExG: Open-Source Hardware for Ear-Based Biopotential Sensing ApplicationsCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678480(916-920)Online publication date: 5-Oct-2024
  • (2024)FoodSkin: Fabricating Edible Gold Leaf Circuits on Food SurfacesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642372(1-17)Online publication date: 11-May-2024
  • (2024)Food Intake Detection in the Face of Limited Sensor Signal Annotations2024 Tenth International Conference on Communications and Electronics (ICCE)10.1109/ICCE62051.2024.10634684(351-356)Online publication date: 31-Jul-2024
  • Show More Cited By

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cover image ACM Conferences
WearSys '17: Proceedings of the 2017 Workshop on Wearable Systems and Applications
June 2017
60 pages
ISBN:9781450349598
DOI:10.1145/3089351
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 19 June 2017

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Author Tags

  1. eating detection
  2. mobile sensing
  3. wearable system

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MobiSys'17
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WearSys '17 Paper Acceptance Rate 9 of 9 submissions, 100%;
Overall Acceptance Rate 28 of 36 submissions, 78%

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Cited By

View all
  • (2024)OpenEarable ExG: Open-Source Hardware for Ear-Based Biopotential Sensing ApplicationsCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678480(916-920)Online publication date: 5-Oct-2024
  • (2024)FoodSkin: Fabricating Edible Gold Leaf Circuits on Food SurfacesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642372(1-17)Online publication date: 11-May-2024
  • (2024)Food Intake Detection in the Face of Limited Sensor Signal Annotations2024 Tenth International Conference on Communications and Electronics (ICCE)10.1109/ICCE62051.2024.10634684(351-356)Online publication date: 31-Jul-2024
  • (2024)Integrated image and sensor-based food intake detection in free-livingScientific Reports10.1038/s41598-024-51687-314:1Online publication date: 18-Jan-2024
  • (2023)Sensing within Smart Buildings: A SurveyACM Computing Surveys10.1145/359660055:13s(1-35)Online publication date: 13-Jul-2023
  • (2023)OpenBCI + 3D-Printed Headphones = Open ExG Headphones – An Open-Source Research Platform for Biopotential Earable ApplicationsExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585875(1-7)Online publication date: 19-Apr-2023
  • (2023)Brain responses to food viewing in women during pregnancy and post partum and their relationship with metabolic health: study protocol for the FOODY Brain Study, a prospective observational studyBMJ Open10.1136/bmjopen-2022-06701313:4(e067013)Online publication date: 18-Apr-2023
  • (2023)Passive Sensors for Detection of Food IntakeEncyclopedia of Sensors and Biosensors10.1016/B978-0-12-822548-6.00086-8(218-234)Online publication date: 2023
  • (2023)Portable health monitoring devicesBiomedical Engineering10.1007/s10527-023-10319-257:4(295-299)Online publication date: 17-Nov-2023
  • (2022)Enhancing Nutrition Care Through Real-Time, Sensor-Based Capture of Eating Occasions: A Scoping ReviewFrontiers in Nutrition10.3389/fnut.2022.8529849Online publication date: 2-May-2022
  • Show More Cited By

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