This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (484) Fitness Trackers and Smart Pedometers/Accelerometers (541) Wearable Devices and Sensors (818) Chronic Conditions (216) Innovations and Technology for Physical Activity Education (702) Sensors at Home and Domotics (51) Quantified Self and Wellness (71)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32362, first published .
Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project

Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project

Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project

Authors of this article:

David Thivel1 Author Orcid Image ;   Alice Corteval2 Author Orcid Image ;   Jean-Marie Favreau1 Author Orcid Image ;   Emmanuel Bergeret1 Author Orcid Image ;   Ludovic Samalin3 Author Orcid Image ;   Frédéric Costes3 Author Orcid Image ;   Farouk Toumani1 Author Orcid Image ;   Christian Dualé3 Author Orcid Image ;   Bruno Pereira3 Author Orcid Image ;   Alain Eschalier3 Author Orcid Image ;   Nicole Fearnbach4 Author Orcid Image ;   Martine Duclos3 Author Orcid Image ;   Anne Tournadre3 Author Orcid Image
Article Authors Cited by (2) Tweetations (7) Metrics

Journals

  1. Zhang L. Applying Deep Learning-Based Human Motion Recognition System in Sports Competition. Frontiers in Neurorobotics 2022;16 View
  2. Ennequin G, Delrieu L, Rossary A, Jacquinot Q, Mougin F, Thivel D, Duclos M. There is a need for a complete consideration of overall movement behaviors for the prevention, treatment, and follow-up of cancer risks and patients. Frontiers in Public Health 2022;10 View