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

Fitness Trackers and Smart Pedometers/Accelerometers (561) Innovations and Technology for Physical Activity Education (742) mHealth for Wellness, Behavior Change and Prevention (2872)

Published on in Vol 7, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13547, first published .
Automatic Identification of Physical Activity Type and Duration by Wearable Activity Trackers: A Validation Study

Automatic Identification of Physical Activity Type and Duration by Wearable Activity Trackers: A Validation Study

Automatic Identification of Physical Activity Type and Duration by Wearable Activity Trackers: A Validation Study

Authors of this article:

Diana Dorn1 Author Orcid Image ;   Jessica Gorzelitz1 Author Orcid Image ;   Ronald Gangnon2 Author Orcid Image ;   David Bell1 Author Orcid Image ;   Kelli Koltyn1 Author Orcid Image ;   Lisa Cadmus-Bertram1 Author Orcid Image
Article Authors Cited by (19) Tweetations (18) Metrics

Diana Dorn   1 , MS ;   Jessica Gorzelitz   1 , MS ;   Ronald Gangnon   2 , PhD ;   David Bell   1 , PhD ;   Kelli Koltyn   1 , PhD ;   Lisa Cadmus-Bertram   1 , PhD

1 Department of Kinesiology, University of Wisconsin - Madison, Madison, WI, United States

2 Department of Population Health Sciences, University of Wisconsin - Madison, Madison, WI, United States

Corresponding Author:

  • Lisa Cadmus-Bertram, PhD
  • Department of Kinesiology
  • University of Wisconsin - Madison
  • 2000 Observatory Drive
  • Madison, WI, 53562
  • United States
  • Phone: 1 608 265 5946
  • Email: cadmusbertra@wisc.edu