Validating Machine -Learned Classifiers of Sedentary Behavior and Physical Activity
NCT ID: NCT01775826
Last Updated: 2019-08-20
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
225 participants
INTERVENTIONAL
2013-03-31
2016-04-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
BASIC_SCIENCE
NONE
Study Groups
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All Purposes
All participants.
Measurement
Measured usual (day-to-day) behavior with body-worn sensors.
Interventions
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Measurement
Measured usual (day-to-day) behavior with body-worn sensors.
Eligibility Criteria
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Inclusion Criteria
* provide verbal assent to complete study protocols;
* willingness to complete 2 visits to UCSD offices;
* willingness to wear multiple sensor devices on 7 days for 12 hours per day;
* willingness to wear wrist accelerometer on 7 days for 24 hours per day;
* willingness to have their height and weight measured;
* be able to walk unassisted
* able to read and understand study materials in English.
* provide written consent to complete study protocols;
* willingness to complete 2 visits to UCSD offices;
* willingness to wear multiple sensor devices on 7 days for 12 hours per day;
* willingness to wear wrist accelerometer on 7 days for 24 hours per day;
* complete a survey assessing their demographic characteristics;
* willingness to have their height and weight measured;
* be physically and cognitively able to walk unassisted,
* able to read and understand study materials in English.
* provide written consent to complete study protocols;
* correctly answer verbal questions about their comprehension of the informed consent;
* willingness to complete 2 visits to UCSD offices;
* willingness to wear multiple sensor devices on 7 days for 12 hours per day;
* willingness to wear wrist accelerometer on 7 days for 24 hours per day;
* complete a survey assessing their demographic;
* willingness to have their height and weight measured;
* be physically and cognitively able to walk without the assistance of another person (walking aids are permitted)
* able to read and understand study materials in English.
Exclusion Criteria
* attends a workplace or school on monitoring days that prohibits static images being taken by a SenseCam worn around the neck of the participant;
* pregnancy in second or third trimester.
6 Years
85 Years
ALL
Yes
Sponsors
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University of California, San Diego
OTHER
Responsible Party
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Marta Jankowska
Prinicipal Investigator
Locations
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UCSD
La Jolla, California, United States
Countries
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References
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Moghimi, Mohammad**; Kerr, Jacqueline; Johnson, Eileen; Godbole, Suneeta; Belongie, Serge Discriminative Regions: A Substrate for Analyzing Life-Logging Image Sequences MultiMedia Modeling 2015 357-368.
Kerr J, Patterson RE, Ellis K, Godbole S, Johnson E, Lanckriet G, Staudenmayer J. Objective Assessment of Physical Activity: Classifiers for Public Health. Med Sci Sports Exerc. 2016 May;48(5):951-7. doi: 10.1249/MSS.0000000000000841.
Ellis K, Kerr J, Godbole S, Staudenmayer J, Lanckriet G. Hip and Wrist Accelerometer Algorithms for Free-Living Behavior Classification. Med Sci Sports Exerc. 2016 May;48(5):933-40. doi: 10.1249/MSS.0000000000000840.
Other Identifiers
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