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

Wearable Devices and Sensors (818) mHealth for Data Collection and Research (914) mHealth for Wellness, Behavior Change and Prevention (2743) Fitness Trackers and Smart Pedometers/Accelerometers (541)

Published on in Vol 7, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11270, first published .
Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study

Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study

Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study

Authors of this article:

Anis Davoudi1 Author Orcid Image ;   Amal Asiri Wanigatunga2 Author Orcid Image ;   Matin Kheirkhahan3 Author Orcid Image ;   Duane Benjamin Corbett4 Author Orcid Image ;   Tonatiuh Mendoza5 Author Orcid Image ;   Manoj Battula3 Author Orcid Image ;   Sanjay Ranka3 Author Orcid Image ;   Roger Benton Fillingim6 Author Orcid Image ;   Todd Matthew Manini4 Author Orcid Image ;   Parisa Rashidi1 Author Orcid Image
Article Authors Cited by (21) Tweetations (1) Metrics

Journals

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  15. Sánchez-Sánchez M, Campos-Asensio C, Arias-Rivera S. Cargas de trabajo de las enfermeras en cuidados intensivos. Validez de su estimación mediante aplicaciones para dispositivos móviles y comparación con nursing activities score. Revisión sistematizada de la literatura. Enfermería Intensiva 2024 View
  16. Demrozi F, Pravadelli G, Bihorac A, Rashidi P. Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey. IEEE Access 2020;8:210816 View
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Books/Policy Documents

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