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

Methods and Feasibility Studies (380) mHealth for Wellness, Behavior Change and Prevention (2873)

Published on in Vol 4, No 2 (2015): Apr-Jun

This is a member publication of UC Davis - Shields Library, Davis, CA, USA

Feasibility of a Dynamic Web Guidance Approach for Personalized Physical Activity Prescription Based on Daily Information From Wearable Technology

Feasibility of a Dynamic Web Guidance Approach for Personalized Physical Activity Prescription Based on Daily Information From Wearable Technology

Feasibility of a Dynamic Web Guidance Approach for Personalized Physical Activity Prescription Based on Daily Information From Wearable Technology

Authors of this article:

Crystal L Coolbaugh1 Author Orcid Image ;   Stephen C Raymond Jr2 Author Orcid Image ;   David A Hawkins1, 3 Author Orcid Image
Article Authors Cited by (6) Tweetations (5) Metrics

Journals

  1. Ghanvatkar S, Kankanhalli A, Rajan V. User Models for Personalized Physical Activity Interventions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11098 View
  2. van Mierlo T, Hyatt D, Ching A, Fournier R, Dembo R. Behavioral Economics, Wearable Devices, and Cooperative Games: Results From a Population-Based Intervention to Increase Physical Activity. JMIR Serious Games 2016;4(1):e1 View
  3. Cai Y, Yu F, Kumar M, Gladney R, Mostafa J. Health Recommender Systems Development, Usage, and Evaluation from 2010 to 2022: A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(22):15115 View
  4. Park J, Lee J, Kang M, Jang T, Kim H, Kim S, Lee J. Development of algorithm for work intensity evaluation using excess overwork index of construction workers with real-time heart rate measurement device. Annals of Occupational and Environmental Medicine 2023;35(1) View
  5. Coppens I, De Pessemier T, Martens L. Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial. User Modeling and User-Adapted Interaction 2024 View