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                                       Details van artikel 31 van 56 gevonden artikelen
 
 
  Kick-scooters detection in sensor-based transportation mode classification methods ⁎ ⁎ This work was part of the project CAPTIMOVE funded by the IDEX of University Grenoble Alpes (call for projects "Initiatives de Recherche Strategiques (IRS)") (ANR-15-IDEX-02). This work was also supported by the Erench National Research Agency in the framework of the Investissements d’avenir program (ANR-10-AIRT-05). The sponsors had no involvement in the design of the study, the collection, analysis and interpretation of data, and in writing the manuscript. This work further forms part of a broader translational and interdisciplinary research program, GaitAlps.The graphical content used in this paper was designed by macrovector / Ereepik and Flaticon.com.
 
 
Titel: Kick-scooters detection in sensor-based transportation mode classification methods ⁎ ⁎ This work was part of the project CAPTIMOVE funded by the IDEX of University Grenoble Alpes (call for projects "Initiatives de Recherche Strategiques (IRS)") (ANR-15-IDEX-02). This work was also supported by the Erench National Research Agency in the framework of the Investissements d’avenir program (ANR-10-AIRT-05). The sponsors had no involvement in the design of the study, the collection, analysis and interpretation of data, and in writing the manuscript. This work further forms part of a broader translational and interdisciplinary research program, GaitAlps.The graphical content used in this paper was designed by macrovector / Ereepik and Flaticon.com.
Auteur: Alaoui, F. Taia
Fourati, H.
Kibangou, A.
Robu, B.
Vuillerme, N.
Verschenen in: IFAC-PapersOnLine
Paginering: Jaargang 54 () nr. 2 pagina's 81-86
Jaar: 2021
Inhoud:
Uitgever: Published by Elsevier B.V.
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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