Data-Driven User-Type Clustering of a Physical Activity Promotion App: Usage Data Analysis Study
BackgroundPhysical inactivity remains a leading risk factor for mortality worldwide. Owing to increasing sedentary behavior (activities in a reclining, seated, or lying position with low-energy expenditures), vehicle-based transport, and insufficient physical workload, the pr...
Main Authors: | Christina Kranzinger, Verena Venek, Harald Rieser, Sonja Jungreitmayr, Susanne Ring-Dimitriou |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2022-08-01
|
Series: | JMIR Formative Research |
Online Access: | https://formative.jmir.org/2022/8/e30149 |
Similar Items
-
Influence of 2 Digital Exercise Modules of a Multimodular System on Balance and Leg Strength Under Consideration of Use Adherence: Prospective Cohort Study
by: Verena Venek, et al.
Published: (2022-09-01) -
Regional Differences in Self-Reported Health, Physical Activity and Physical Fitness of Urban Senior Citizens in Austria
by: Sonja Jungreitmayr, et al.
Published: (2023-05-01) -
Classification of Human Motion Data Based on Inertial Measurement Units in Sports: A Scoping Review
by: Christina Kranzinger, et al.
Published: (2023-07-01) -
Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping Review
by: Verena Venek, et al.
Published: (2022-06-01) -
Data-Driven Modeling of Appliance Energy Usage
by: Cameron Francis Assadian, et al.
Published: (2023-11-01)