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

Development and Evaluation of Research Methods, Instruments and Tools (744) Wearable Devices and Sensors (1133) Fitness Trackers and Smart Pedometers/Accelerometers (665) Mobile Health (mhealth) (3463) mHealth for Data Collection and Research (1196)

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 (3) 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

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