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

Fitness Trackers and Smart Pedometers/Accelerometers (502) New Methods (698) mHealth for Wellness, Behavior Change and Prevention (2350)

Published on in Vol 7 , No 3 (2019) :March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11075, first published .
Physical Activity Trend eXtraction: A Framework for Extracting Moderate-Vigorous Physical Activity Trends From Wearable Fitness Tracker Data

Physical Activity Trend eXtraction: A Framework for Extracting Moderate-Vigorous Physical Activity Trends From Wearable Fitness Tracker Data

Physical Activity Trend eXtraction: A Framework for Extracting Moderate-Vigorous Physical Activity Trends From Wearable Fitness Tracker Data

Authors of this article:

Louis Faust 1, 2 Author Orcid Image ;   Cheng Wang 2, 3 Author Orcid Image ;   David Hachen 2, 3 Author Orcid Image ;   Omar Lizardo 4 Author Orcid Image ;   Nitesh V Chawla 1, 2 Author Orcid Image
Article Authors Cited by (7) Tweetations (6) Metrics

Louis Faust   1, 2 , BA ;   Cheng Wang   2, 3 , PhD ;   David Hachen   2, 3 , PhD ;   Omar Lizardo   4 , PhD ;   Nitesh V Chawla   1, 2 , PhD

1 Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, US

2 Interdisciplinary Center for Network Science and Applications, University of Notre Dame, Notre Dame, IN, US

3 Department of Sociology, University of Notre Dame, Notre Dame, IN, US

4 Department of Sociology, University of California, Los Angeles, CA, US

Corresponding Author:

  • Louis Faust, BA
  • Department of Computer Science and Engineering
  • University of Notre Dame
  • 257 Fitzpatrick Hall
  • Notre Dame, IN, 46556
  • US
  • Phone: 1 5746317095
  • Email: lfaust@nd.edu