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

Journal: JMIR mHealth and uHealth
PMID: 30724739

Abstract

BACKGROUND: Wearable accelerometers have greatly improved measurement of physical activity, and the increasing popularity of smartwatches with inherent acceleration data collection suggest their potential use in the physical activity research domain; however, their use needs to be validated.

Authors

  • Anis Davoudi
    Department of Biomedical Engineering, University of Florida, Gainesville, USA.
  • Amal Asiri Wanigatunga
    Department of Epidemiology, University of Florida, Gainesville, FL, United States.
  • Matin Kheirkhahan
    Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA. matin@cise.ufl.edu.
  • Duane Benjamin Corbett
    Department of Aging and Geriatric Research, University of Florida, Gainesville, FL, United States.
  • Tonatiuh Mendoza
    Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States.
  • Manoj Battula
    Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States.
  • Sanjay Ranka
    Dept. of Computer & Information Science & Engineering, University of Florida, Gainesville, FL 32611, USA, ximen14@ufl.edu, anand@cise.ufl.edu, ranka@cise.ufl.edu.
  • Roger Benton Fillingim
    Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, FL, United States.
  • Todd Matthew Manini
    Department of Aging and Geriatric Research, University of Florida, Gainesville, FL, United States.
  • Parisa Rashidi
    Department of Biomedical Engineering, University of Florida, Gainesville, FL USA.

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