Literature DB >> 22488204

A new method for measuring meal intake in humans via automated wrist motion tracking.

Yujie Dong1, Adam Hoover, Jenna Scisco, Eric Muth.   

Abstract

Measuring the energy intake (kcal) of a person in day-to-day life is difficult. The best laboratory tool achieves 95 % accuracy on average, while tools used in daily living typically achieve 60-80 % accuracy. This paper describes a new method for measuring intake via automated tracking of wrist motion. Our method uses a watch-like device with a micro-electro-mechanical gyroscope to detect and record when an individual has taken a bite of food. Two tests of the accuracy of our device in counting bites found that our method has 94 % sensitivity in a controlled meal setting and 86 % sensitivity in an uncontrolled meal setting, with one false positive per every 5 bites in both settings. Preliminary data from daily living indicates that bites measured by the device are positively related to caloric intake illustrating the potential of the device to monitor energy intake. Future research should seek to further explore the relationship between bites taken and kilocalories consumed to validate the device as an automated measure of energy intake.

Entities:  

Mesh:

Year:  2012        PMID: 22488204      PMCID: PMC4487660          DOI: 10.1007/s10484-012-9194-1

Source DB:  PubMed          Journal:  Appl Psychophysiol Biofeedback        ISSN: 1090-0586


  40 in total

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Journal:  J Am Diet Assoc       Date:  2010-01

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Authors:  Edward Sazonov; Stephanie Schuckers; Paulo Lopez-Meyer; Oleksandr Makeyev; Nadezhda Sazonova; Edward L Melanson; Michael Neuman
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7.  Eight self-administered 24-hour dietary recalls using the Internet are feasible in African Americans and Whites: the energetics study.

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Journal:  J Am Diet Assoc       Date:  2010-06

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Journal:  Br J Nutr       Date:  2008-07-11       Impact factor: 3.718

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Review 10.  Does the history of food energy units suggest a solution to "Calorie confusion"?

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Journal:  Nutr J       Date:  2007-12-17       Impact factor: 3.271

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  52 in total

Review 1.  Energy balance measurement: when something is not better than nothing.

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2.  A wearable sensor system for monitoring cigarette smoking.

Authors:  Edward Sazonov; Paulo Lopez-Meyer; Stephen Tiffany
Journal:  J Stud Alcohol Drugs       Date:  2013-11       Impact factor: 2.582

3.  Self-report-based estimates of energy intake offer an inadequate basis for scientific conclusions.

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4.  Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss Interventions.

Authors:  Gabrielle M Turner-McGrievy; Caroline Glagola Dunn; Sara Wilcox; Alycia K Boutté; Brent Hutto; Adam Hoover; Eric Muth
Journal:  J Acad Nutr Diet       Date:  2019-05-30       Impact factor: 4.910

5.  Erratum: The Dietary Intervention to Enhance Tracking with Mobile Devices (DIET Mobile) Study: A 6-Month Randomized Weight Loss Trial.

Authors:  Gabrielle M Turner-McGrievy; Sara Wilcox; Alycia Boutté; Brent E Hutto; Camelia Singletary; Eric R Muth; Adam W Hoover
Journal:  Obesity (Silver Spring)       Date:  2017-11-07       Impact factor: 5.002

6.  Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior.

Authors:  Juan M Fontana; Muhammad Farooq; Edward Sazonov
Journal:  IEEE Trans Biomed Eng       Date:  2014-06       Impact factor: 4.538

7.  A novel approach for food intake detection using electroglottography.

Authors:  Muhammad Farooq; Juan M Fontana; Edward Sazonov
Journal:  Physiol Meas       Date:  2014-03-26       Impact factor: 2.833

8.  Perspective: Randomized Controlled Trials Are Not a Panacea for Diet-Related Research.

Authors:  James R Hébert; Edward A Frongillo; Swann A Adams; Gabrielle M Turner-McGrievy; Thomas G Hurley; Donald R Miller; Ira S Ockene
Journal:  Adv Nutr       Date:  2016-05-16       Impact factor: 8.701

9.  Measuring the Consumption of Individual Solid and Liquid Bites Using a Table-Embedded Scale During Unrestricted Eating.

Authors:  Ryan S Mattfeld; Eric R Muth; Adam Hoover
Journal:  IEEE J Biomed Health Inform       Date:  2016-11-24       Impact factor: 5.772

10.  Effects of Bite Count Feedback from a Wearable Device and Goal Setting on Consumption in Young Adults.

Authors:  Phillip W Jasper; Melva T James; Adam W Hoover; Eric R Muth
Journal:  J Acad Nutr Diet       Date:  2016-06-23       Impact factor: 4.910

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