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

Development and Evaluation of Research Methods, Instruments and Tools (762) Wearable Devices and Sensors (1163) Fitness Trackers and Smart Pedometers/Accelerometers (679) Mobile Health (mhealth) (3511) mHealth for Data Collection and Research (1212)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56784, first published .
Assessing and Enhancing Movement Quality Using Wearables and Consumer Technologies: Thematic Analysis of Expert Perspectives

Assessing and Enhancing Movement Quality Using Wearables and Consumer Technologies: Thematic Analysis of Expert Perspectives

Assessing and Enhancing Movement Quality Using Wearables and Consumer Technologies: Thematic Analysis of Expert Perspectives

Authors of this article:

T Alexander Swain1 Author Orcid Image ;   Melitta A McNarry1 Author Orcid Image ;   Kelly A Mackintosh1 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Haitjema A, Reenalda J, van Beijnum B, Miller G, Veltink P, Wouda F. A Comprehensive Open-Source Toolbox for Analyzing and Improving Orientation Estimation From Inertial Sensors for Biomechanical Applications. IEEE Sensors Journal 2025;25(14):26856 View
  2. Pang T, Cheng C, Feltham F, Rahman A, McCarney L, Rodriguez C. Feasibility of IMU-Based Wearable Sonification: Toward Personalized, Real-Time Gait Monitoring and Rehabilitation. Biosensors 2025;15(10):698 View

Books/Policy Documents

  1. Arosha Senanayake S. Innovative Technologies in Intelligent Systems and Industrial Applications. View

Conference Proceedings

  1. Jabari S, Shaikh A, Genç Ç, Buruk O, Virkki J, Hamari J. Proceedings of the 28th International Academic Mindtrek. A Visual Review of Computational Fashion Wearables: Design Directions through Sketching View