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Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles

Paul Dulaud 1 Ines Di Loreto 1 Denis Mottet 2 
1 Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs
ICD - Institut Charles Delaunay, CNRS - Centre National de la Recherche Scientifique : FRE2732
2 Euromov DHM - EuroMov - Digital Health in Motion
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https://hal.archives-ouvertes.fr/hal-03078469
Contributor : Denis Mottet Connect in order to contact the contributor
Submitted on : Tuesday, May 25, 2021 - 3:47:55 PM
Last modification on : Wednesday, August 31, 2022 - 6:55:06 PM
Long-term archiving on: : Thursday, August 26, 2021 - 8:18:46 PM

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Distributed under a Creative Commons Attribution 4.0 International License

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INSTITUT-TELECOM | CNRS | EM-ALES | UNIV-MONTPELLIER | UTT | EUROMOV-DHM | UTT-LIST3N | UTT-FULL-TEXT | TECH-CICO

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Paul Dulaud, Ines Di Loreto, Denis Mottet. Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles. International Journal of Environmental Research and Public Health, MDPI, 2020, 17 (24), pp.9350. ⟨10.3390/ijerph17249350⟩. ⟨hal-03078469⟩

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Université de Technologie de Troyes, Research entity LIST3N, contact: myriam.lewkowicz@utt.fr