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

Occupational Health and Ergonomics/Prevention at the Workplace (239) Fitness Trackers and Smart Pedometers/Accelerometers (564) mHealth for Data Collection and Research (964)

Published on in Vol 9, No 4 (2020): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16376, first published .
Leveraging Walking Performance to Understand Work Fatigue Among Young Adults: Mixed-Methods Study

Leveraging Walking Performance to Understand Work Fatigue Among Young Adults: Mixed-Methods Study

Leveraging Walking Performance to Understand Work Fatigue Among Young Adults: Mixed-Methods Study

Authors of this article:

Xinghui Yan1, 2 Author Orcid Image ;   Pei-Luen Patrick Rau1 Author Orcid Image ;   Runting Zhong1, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Zhong R, Gao T. Impact of walking states, self-reported daily walking amount and age on the gait of older adults measured with a smart-phone app: a pilot study. BMC Geriatrics 2022;22(1) View
  2. Kopytkov D, Ponkratov D, Samchuk G, Yaruta A, Kitchenko N. Determination of walking energy expenditure as an indicator of walking fatigue. IOP Conference Series: Earth and Environmental Science 2024;1376(1):012035 View
  3. Zhou J, Huebner G, Liu K, Ucci M. Heart rate variability, electrodermal activity and cognition in adults: Association with short-term indoor PM2.5 exposure in a real-world intervention study. Environmental Research 2024;263:120245 View