Use of smartphone accelerometers and signal energy for estimating energy expenditure in daily-living conditions
Duclos, 2015
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Last update: January 15, 2022. Updates will occur every 3 months.
Description
Description
Smartphone accelerometers were used to predict total energy expenditure in adults. Percent error was 14.1 (compared to Sensewear) to 15.0% (compared to Actiheart).
Development/Validation
Development/Validation
Sample: 42 (21 males) healthy adults, 18-60 years of age
Setting: Free-living, laboratory
Activities: Stairs, stationary, taking public transit, unstructured, walking and running
Criterion: Actiheart, activity type, Sensewear armband
Accelerometer(s): Samsung Galaxy xCover or LG Nexus 4 in left pants pocket
Validation approach: Holdout (24 from free-living portion of study)
Instructions
Instructions
Acceleration was collected using a smartphone. While a low pass filter to reduce noise was used, more information about this was not reported. Total energy expenditure (TEE) is estimated using the following function.
Source Information
Source Information
Reference:
Duclos, M., Fleury, G., Guidoux, R., Lacomme, P., Lamaudière, N., Manenq, P. H., ... & Rousset, S. (2015). Use of smartphone accelerometers and signal energy for estimating energy expenditure in daily-living conditions. Current Biotechnology, 4(1), 4-15. Link to Paper
Corresponding author: Sylvie Rousset, rousset@clermont.inra.fr
Contact
Contact
Kimberly Clevenger at accelerometerrepository@gmail.com
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