Skip to main content
  • Français
  • English

User account menu

  • Log in
Home
  • Laboratory
    • Presentation
    • Organisation chart
    • BOREA sites
    • Eco-responsibility and climate action
    • Contacts
  • Research
    • Research teams
      • AQUATREND
      • BIOPAC
      • COMPASS
      • InECO
      • SNEEF
    • Thematic locations
      • OHM Port Caraïbe Observatory
    • Current PhD thesis
  • Staff
    • BOREA Members
    • Former staff
    • Statistics
  • Programs
  • Publications
    • Papers
    • Databases
    • Software
    • Posters
    • Defended PhD thesis
    • Webinars
  • News
    • Now
    • News archives

A Lean and Performant Hierarchical Model for Human Activity Recognition Using Body-Mounted Sensors

Breadcrumb

  1. Home
  2. Articles
  3. A Lean and Performant Hierarchical Model for Human Activity Recognition Using Body-Mounted Sensors
Author
Isaac Debache
Lorène Jeantet
Damien Chevallier
Audrey Bergouignan
Cédric Sueur
Year of Publication
2020

Journal

Sensors
Volume
20
Issue
11
Date Published
Jan-06-2020
Number of Pages
3090
DOI
10.3390/s20113090
URL
https://www.mdpi.com/1424-8220/20/11/3090
HCERES category
ACL - Articles in international or national peer-reviewed journals indexed by HCERES or in international databases
  • Google Scholar
  • DOI
  • BibTeX
  • Crossref
  • Crossref DOI
  • EndNote X3 XML
  • EndNote 7 XML
  • Endnote tagged
  • PubMed XML
  • PubMedId

Address

Laboratory of Biology of Aquatic Organisms and Ecosystems
MNHN, CNRS 8067, SU, IRD 207, UA
43 rue Cuvier, CP 26 75231 
Paris Cedex 05, France
Secretariat : 01.40.79.48.40

Archives

  • Laboratory archives
  • News archives

2014-2025 - Laboratoire BOREA

Pied de page

  • Se connecter
  • Mentions légales
Logo SCROL
Clear keys input element