Skip to Main content Skip to Navigation

Contribution à la reconnaissance d'activités à partir d'un objet connecté

Romain Auber 1
1 Equipe Electronique - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : This manuscript deals with the recognition of activities from accelerometric data. The device used to collect the accelerometer data is eTact, a device developed by Bodycap. Several solutions are proposed to optimize the autonomy of the connected object. These solutions are implemented and compared on different data sets. The originality of one of these solutions is to binarize the data of the accelerometer before transferring them to an external platform where they are analyzed. The use of binary data induces the loss of a lot of information, however it is shown in this manuscript that it is possible to estimate, among other things, the parameters of an Auto Regressive model of a time series from the binary information on this series. In this respect, an identification algorithm is proposed and analyzed.
Document type :
Complete list of metadatas

Cited literature [133 references]  Display  Hide  Download
Contributor : Abes Star :  Contact
Submitted on : Friday, March 27, 2020 - 2:28:10 PM
Last modification on : Saturday, April 11, 2020 - 1:30:38 AM
Long-term archiving on: : Sunday, June 28, 2020 - 2:20:51 PM


Version validated by the jury (STAR)


  • HAL Id : tel-02520542, version 2


Romain Auber. Contribution à la reconnaissance d'activités à partir d'un objet connecté. Automatique / Robotique. Normandie Université, 2019. Français. ⟨NNT : 2019NORMC242⟩. ⟨tel-02520542v2⟩



Record views


Files downloads