title: A smartphone-driven methodology for estimating physical activities and energy expenditure in free living conditions.
abstract: This paper introduces a function dedicated to the estimation of total energy expenditure (TEE) of daily activities based on data from accelerometers integrated into smartphones. 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. The TEE estimation function quality was evaluated using data from intensive numerical experiments based, first, on 12 volunteers equipped with a smartphone and two research sensors (Armband and Actiheart) in controlled conditions (CC) and, then, on 30 other volunteers in free-living conditions (FLC). The TEE given by these two sensors in both conditions and estimated from the metabolic equivalent tasks (MET) in CC served as references during the creation and evaluation of the function. The TEE mean gap in absolute value between the function and the three references was 7.0%, 16.4% and 2.7% in CC, and 17.0% and 23.7% according to Armband and Actiheart, respectively, in FLC. This is the first step in the definition of a new feedback mechanism that promotes self-management and daily-efficiency evaluation of physical activity as part of an information system dedicated to the prevention of chronic diseases.
authors.affiliation: INRA, Unité de Nutrition Humaine UMR 1019, CRNH d'Auvergne, 63009 Clermont-Ferrand, France.
authors.forename: Romain
authors.initials: R
authors.lastname: Guidoux
authors.affiliation: INRA, Unité de Nutrition Humaine UMR 1019, CRNH d'Auvergne, 63009 Clermont-Ferrand, France; CHU Clermont Ferrand, Serv Med Sport & Explorat Fonct, 63003 Clermont Ferrand, France.
authors.forename: Martine
authors.initials: M
authors.lastname: Duclos
authors.affiliation: Laboratoire de Mathématiques (UMR CNRS 6620), Campus des Cézeaux, 63177 Aubière Cedex, France.
authors.forename: Gérard
authors.initials: G
authors.lastname: Fleury
authors.affiliation: Laboratoire d'Informatique (LIMOS, UMR CNRS 6158), Campus des Cézeaux, 63177 Aubière Cedex, France.
authors.forename: Philippe
authors.initials: P
authors.lastname: Lacomme
authors.affiliation: CHU Clermont Ferrand, Serv Med Sport & Explorat Fonct, 63003 Clermont Ferrand, France.
authors.forename: Nicolas
authors.initials: N
authors.lastname: Lamaudière
authors.affiliation: Almerys, 46 rue du Ressort, 63967 Clermont-Ferrand Cedex 9, France.
authors.forename: Pierre-Henri
authors.initials: PH
authors.lastname: Manenq
authors.affiliation: INRA, Unité de Nutrition Humaine UMR 1019, CRNH d'Auvergne, 63009 Clermont-Ferrand, France.
authors.forename: Ludivine
authors.initials: L
authors.lastname: Paris
authors.affiliation: Laboratoire d'Informatique (LIMOS, UMR CNRS 6158), Campus des Cézeaux, 63177 Aubière Cedex, France.
authors.forename: Libo
authors.initials: L
authors.lastname: Ren
authors.affiliation: INRA, Unité de Nutrition Humaine UMR 1019, CRNH d'Auvergne, 63009 Clermont-Ferrand, France. Electronic address: rousset@clermont.inra.fr.
authors.forename: Sylvie
authors.initials: S
authors.lastname: Rousset
mesh_terms: D061725:Accelerometry / Q000295:instrumentation; D000203:Activities of Daily Living; D000293:Adolescent; D000328:Adult; D040421:Cell Phone; D004734:Energy Metabolism / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods*; D009043:Motor Activity / Q000502:physiology*; D055815:Young Adult
keywords: Actiheart; Armband; Energy expenditure estimation; Normal-weight subjects; Physical activity; Smartphone accelerometers