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

Advanced Data Analytics in eHealth (133) Artificial Intelligence (1371) Machine Learning (1465) New Technologies (77) Tools, Programs and Algorithms (266) Wearable Devices and Sensors (888)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57097, first published .
Recognition of Daily Activities in Adults With Wearable Inertial Sensors: Deep Learning Methods Study

Recognition of Daily Activities in Adults With Wearable Inertial Sensors: Deep Learning Methods Study

Recognition of Daily Activities in Adults With Wearable Inertial Sensors: Deep Learning Methods Study

Authors of this article:

Alberto De Ramón Fernández1 Author Orcid Image ;   Daniel Ruiz Fernández1 Author Orcid Image ;   Miguel García Jaén2 Author Orcid Image ;   Juan M. Cortell-Tormo2 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Alberto De Ramón Fernández   1 , PhD ;   Daniel Ruiz Fernández   1 , PhD ;   Miguel García Jaén   2 , PhD ;   Juan M. Cortell-Tormo   2 , PhD

1 Department of Computer Technology, University of Alicante, San Vicente del Raspeig, Spain

2 Department of General Didactics and Specific Didactics, University of Alicante, San Vicente del Raspeig, Spain

Corresponding Author:

  • Daniel Ruiz Fernández, PhD
  • Department of Computer Technology
  • University of Alicante
  • Carretera San Vicente del Raspeig s/n
  • San Vicente del Raspeig, 03690
  • Spain
  • Phone: 34 965 90 9656 ext 3331
  • Email: druiz@dtic.ua.es