An Open Dataset for Human Activity Analysis using Smart Devices

Abstract : The study of human mobility and activities has opened up to an incredible number of studies in the past, most of which included the use of sensors distributed on the body of the subject. More recently, the use of smart devices has been particularly relevant because they are already everywhere and they come with accurate miniaturized sensors. Whether it is smartphones, smartwatches or smartglasses, each device can be used to describe complementary information such as emotions, precise movements, or environmental conditions. In this short paper, we release the applications we have developed and an example of a collected dataset. We propose that opening multi-sensors data from daily activities may enable new approaches to studying human behavior.
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Pré-publication, Document de travail
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Contributeur : Sébastien Faye <>
Soumis le : mercredi 13 septembre 2017 - 11:59:10
Dernière modification le : mercredi 21 mars 2018 - 10:54:05
Document(s) archivé(s) le : jeudi 14 décembre 2017 - 12:57:12


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Distributed under a Creative Commons Paternité 4.0 International License


  • HAL Id : hal-01586802, version 1



Sébastien Faye, Nicolas Louveton, Sasan Jafarnejad, Roman Kryvchenko, Thomas Engel. An Open Dataset for Human Activity Analysis using Smart Devices. 2017. 〈hal-01586802〉



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