Centre de Recherche en Nutrition Humaine d'Auvergne
Clermont-Ferrand, 63000, France
NCT Number: NCT02348554
The aim of this study was to validate functions for estimating energy expenditure in controlled and free-living conditions. This method was based on accelerometry data acquired from smartphones worn in a trouser pocket. The developed functions have been compared to the estimations provided by three research devices named Fitmate, Armband and Actiheart.
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Notify Me18 year–60 year
All sexes
Interventional
Not applicable
Clermont-Ferrand, 63000, France
There is a growing interest in evaluating physical activity and energy expenditure (EE) to provide feedback to the user. The use of mass-market sensors such as accelerometers offers a promising solution for the general public due to the growing smartphone market over the last decade.
Two previous studies allowed to propose a function named PredEE, which has been tested on normal-weighted volunteers.
This EE estimation function has been tested and improved with data collected from 43 overweight volunteers equipped with smartphones and two or three research sensors (Fitmate, Armband and Actiheart in controlled conditions, and Armband and Actiheart in free-living conditions). Research sensors' data serves as reference during the evaluation and improvement of the proposed function.
This EE estimation function using the smartphone technology is dedicated to light- and moderate-intensity activities, and the investigators believe it can be a new way to help people controlling their daily physical activity level.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The 13 volunteers in controlled conditions performed each of the nine activities several times according to the activity scenario: sitting, slow, normal and brisk walking, climbing and descending stairs (eight floors), standing, slow running and taking public transportation (tramway). The duration of each activity varied from 2 to 20 minutes.
The spontaneous activities of 30 volunteers were recorded in the free-living conditions for a full day selected either during the week or the weekend.
Time frame: 1 day
Measures acquired by smartphones including a tri-axial accelerometer
Time frame: 1 day
Sensor: Fitmate
Time frame: 1 day
Sensor: Armband
Time frame: 1 day
Sensor: Actiheart
Time frame: 1 day
Measurement of rest energy expenditure under canopy by Fitmate
Time frame: 1 day
Measurement of rest energy expenditure by using Armband
Time frame: 1 day
Measurement of rest energy expenditure by using Actiheart
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
Other
A Smartphone Application to Evaluate Energy Expenditure and Duration of Activities in Free-living Conditions for Overweight and Obese People (eMouve3)
Acronym: eMouve3
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