research-article

Validated caloric expenditure estimation using a single body-worn sensor

Authors:

Jonathan Lester,

Gaetano Borriello,

Glen DuncanAuthors Info & Claims

UbiComp '09: Proceedings of the 11th international conference on Ubiquitous computing

Pages 225 - 234

https://doi.org/10.1145/1620545.1620579

Published: 30 September 2009 Publication History

Abstract

In 2007, approximately 30% of US adults were obese, with related health care costs exceeding 100 billion dollars. Clearly, the obesity epidemic represents a growing societal concern. One challenge in weight control is the difficulty of tracking food calories consumed and calories expended by activity. This paper presents a system for automatic monitoring of calories expended using a single body-worn accelerometer. Our system uses activity inference combined with signal analysis to estimate calories expended in real-time using regression formulas developed by the American College of Sports Medicine. To validate our system, we have collected data from 51 subjects in a laboratory setting using a treadmill and a more natural field test. Actual caloric expenditure was determined using the medical "gold standard" measurement, of oxygen consumption. We are able to achieve 89% accuracy with lab data and 79% with field data -- both high enough to be useful in practice.

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https://doi.org/10.1186/s13102-022-00417-1
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Index Terms

Validated caloric expenditure estimation using a single body-worn sensor
1. Information systems

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cover image ACM Conferences

UbiComp '09: Proceedings of the 11th international conference on Ubiquitous computing

September 2009

292 pages

ISBN:9781605584317

DOI:10.1145/1620545

General Chair:
Sumi Helal
University of Florida, USA
,
Program Chairs:
Hans Gellersen
Lancaster University, UK
,
Sunny Consolvo
Intel Labs, USA

Copyright © 2009 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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Published: 30 September 2009

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Ubicomp '09: The 11th International Conference on Ubiquitous Computing

September 30 - October 3, 2009

Florida, Orlando, USA

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UbiComp '09 Paper Acceptance Rate 31 of 251 submissions, 12%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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https://doi.org/10.1186/s13102-022-00417-1
Lee JKim SCheon MJu HLee JHwang I(2022)SleepGuru: Personalized Sleep Planning System for Real-life Actionability and NegotiabilityProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545709(1-16)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545709
Wang QFu MWang JLuo HSun LMa ZLi WZhang CHuang RLi XJiang ZLiang Q(2022)Recent Advances in Pedestrian Inertial Navigation Based on Smartphone: A ReviewIEEE Sensors Journal10.1109/JSEN.2022.321383622:23(22319-22343)Online publication date: 1-Dec-2022
https://doi.org/10.1109/JSEN.2022.3213836
Shandhi MBartlett WHeller JEtemadi MYoung APlotz TInan O(2021)Estimation of Instantaneous Oxygen Uptake During Exercise and Daily Activities Using a Wearable Cardio-Electromechanical and Environmental SensorIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2020.300990325:3(634-646)Online publication date: Mar-2021
https://doi.org/10.1109/JBHI.2020.3009903
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Zou YWang DHong SRuby RZhang DWu K(2020)A Low-Cost Smart Glove System for Real-Time Fitness CoachingIEEE Internet of Things Journal10.1109/JIOT.2020.29831247:8(7377-7391)Online publication date: Aug-2020
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