Wi-Fi-Enabled Automatic Eating Moment Monitoring Using Smartphones

Zhenzhe Lin, Yucheng Xie, Xiaonan Guo, Chen Wang, Yanzhi Ren, Yingying Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Dietary habits are closely correlated with people’s health. Study reveals that unhealthy eating habits may cause various diseases such as obesity, diabetes and anemia. To help users create good eating habits, eating moment monitoring plays a significant role. However, traditional methods mainly rely on manual self-report or wearable devices, which either require much user efforts or intrusive dedicated hardware. In this work, we propose a user effort-free eating moment monitoring system by leveraging the WiFi signals extracted from the commercial off-the-shelf (COTS) smartphones. In particular, our system captures the eating activities of users to determine the eating moments. The proposed system can further identify the fine-grained food intake gestures (e.g., eating with fork, knife, spoon, chopsticks and bard hand) to estimate the detailed eating episode for each food intake gesture. Utilizing the dietary information, our system shows the potential to infer the food category and food amount. Extensive experiments with 10 subjects over 400-min eating show that our system can recognize a user’s food intake gestures with up to 97.8% accuracy and estimate the dietary moment within 1.1-s error.

Original languageEnglish (US)
Title of host publicationIoT Technologies for HealthCare - 6th EAI International Conference, HealthyIoT 2019, Proceedings
EditorsNuno M. Garcia, Ivan Miguel Pires, Rossitza Goleva
PublisherSpringer
Pages77-91
Number of pages15
ISBN (Print)9783030420284
DOIs
StatePublished - 2020
Event6th EAI International Conference on IoT Technologies for HealthCare, HealthyIoT 2019 - Braga, Portugal
Duration: Dec 4 2019Dec 6 2019

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume314 LNICST
ISSN (Print)1867-8211

Conference

Conference6th EAI International Conference on IoT Technologies for HealthCare, HealthyIoT 2019
CountryPortugal
CityBraga
Period12/4/1912/6/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Keywords

  • Eating moment monitoring
  • Healthy eating
  • WiFi sensing

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