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Towards a fully automatic food intake recognition system using acoustic, image capturing and glucose measurements

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Title: Towards a fully automatic food intake recognition system using acoustic, image capturing and glucose measurements
Authors: Rosa, BG
Anastasova-Ivanova, S
Lo, B
Yang, GZ
Item Type: Conference Paper
Abstract: Food intake is a major healthcare issue in developed countries that has become an economic and social burden across all sectors of society. Bad food intake habits lead to increased risk for development of obesity in children, young people and adults, with the latter more prone to suffer from health diseases such as diabetes, shortening the life expectancy. Environmental, cultural and behavioural factors have been appointed to be responsible for altering the balance between energy intake and expenditure, resulting in excess body weight. Methods to counteract the food intake problem are vast and include self-reported food questionnaires, body-worn sensors that record the sound, pressure or movements in the mouth and GI tract or image-based approaches that recognize the different types of food being ingested. In this paper we present an ear-worn device to track food intake habits by recording the acoustic signal produced by the chewing movements as well as the glucose level amperiometrically. Combined with a small camera on a future version of the device, we hope to deliver a complete system to control dietary habits with caloric intake estimation during satiation and deficit during satiety periods, which can be adapted to the physiology of each user.
Issue Date: 25-Jul-2019
Date of Acceptance: 1-Jul-2019
URI: http://hdl.handle.net/10044/1/75192
DOI: 10.1109/BSN.2019.8771070
ISSN: 2376-8886
Publisher: IEEE
Journal / Book Title: 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN)
Copyright Statement: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Bill and Melinda Gates Foundation
Bill & Melinda Gates Foundation
Funder's Grant Number: EP/L014149/1
540213 SeNTH plus
OPP1171395
OPP1171395
Conference Name: IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Keywords: Science & Technology
Technology
Computer Science, Interdisciplinary Applications
Engineering, Electrical & Electronic
Computer Science
Engineering
Science & Technology
Technology
Computer Science, Interdisciplinary Applications
Engineering, Electrical & Electronic
Computer Science
Engineering
Publication Status: Published
Start Date: 2019-05-19
Finish Date: 2019-05-22
Conference Place: Univ Illinois Chicago, Chicago, IL
Online Publication Date: 2019-07-25
Appears in Collections:Department of Surgery and Cancer