research-article

Using the SenseCam as an objective tool for evaluating eating patterns

Authors:

Jacqueline Chen,

Simon J. Marshall,

Suneeta Godbole,

Ruth Patterson,

Charlie Foster,

Jacqueline KerrAuthors Info & Claims

SenseCam '13: Proceedings of the 4th International SenseCam & Pervasive Imaging Conference

Pages 34 - 41

https://doi.org/10.1145/2526667.2526673

Published: 18 November 2013 Publication History

Abstract

Obesity is a major public health concern in the United States. Eating while doing other activities, including watching television can increase energy intake. However, to our knowledge, no studies have quantified and examined the eating context among adults during everyday life. Existing studies are limited because they rely predominantly on self-reported data and focus on energy intake rather than patterns of eating behavior, such as how many times people eat during the day and how long each episode lasted. Automatic images taken by the SenseCam provide objective data regarding eating behavior including when, where and with whom eating occurs. The purpose of this study is to investigate the feasibility of using a SenseCam to measure eating behavior during free living. Forty university employees and students wore a SenseCam and a Global Positioning System (GPS) for 1--5 days. The following variables were annotated from the image data using standardized protocols: presence of eating behavior, presence of other activities during eating (TV viewing, computer use), and social context. Data were analyzed using non-parametric t-tests and multilevel models to examine patterns and context of eating episodes by gender and BMI status. 171 person days of data were collected. Participants engaged in 4.8 (SD = 2.1) episodes of eating per day and median duration of each eating event was 9.7 minutes [Interquartile Range = 7.0, 14.6]. This study demonstrated the utility of using the SenseCam to assess eating behaviors in adults. Eating behaviors were successfully annotated and related to demographics and BMI.

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Using the SenseCam as an objective tool for evaluating eating patterns

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cover image ACM Other conferences

SenseCam '13: Proceedings of the 4th International SenseCam & Pervasive Imaging Conference

November 2013

99 pages

ISBN:9781450322478

DOI:10.1145/2526667

General Chair:
Jacqueline Kerr
University of California, San Diego
,
Program Chairs:
Nadir Weibel
University of California, San Diego
,
Cathal Gurrin
CLARITY Centre, Dublin City University

Copyright © 2013 ACM.

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 ACM 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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QI: Qualcomm Inc.

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New York, NY, United States

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Published: 18 November 2013

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SenseCam '13: International SenseCam & Pervasive Imaging Conference 2013

November 18 - 19, 2013

California, San Diego, USA

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SenseCam '13 Paper Acceptance Rate 9 of 22 submissions, 41%;

Overall Acceptance Rate 9 of 22 submissions, 41%

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Fernandes GZhu HPedram MSchauer JShahi SRomano CGergle DAlshurafa N(2023)Is cartoonized life-vlogging the key to increasing adoption of activity-oriented wearable camera systems?Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585812(1-8)Online publication date: 19-Apr-2023
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https://doi.org/10.1109/PerCom53586.2022.9762385
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Kamar MEvans CHugh-Jones S(2019)Factors Influencing British Adolescents’ Intake of Whole Grains: A Pilot Feasibility Study Using SenseCam Assisted InterviewsNutrients10.3390/nu1111262011:11(2620)Online publication date: 1-Nov-2019
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Everson BMackintosh KMcNarry MTodd CStratton G(2019)Can Wearable Cameras Be Used to Validate School-Aged Children’s Lifestyle Behaviours?Children10.3390/children60200206:2(20)Online publication date: 1-Feb-2019
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Yang JWang JNakandala SKumar AJankowska M(2019)Predicting Eating Events in Free Living Individuals2019 15th International Conference on eScience (eScience)10.1109/eScience.2019.00101(648-649)Online publication date: Sep-2019
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Fischer TRiedl RFischer TRiedl R(2018)AppendixLifelogging for Organizational Stress Measurement10.1007/978-3-319-98711-8_2(39-72)Online publication date: 27-Sep-2018
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