Date of Award
2022
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Thesis/Dissertation Advisor [Chair]
Pandya, Abhijit
Abstract
In this thesis, an augmented reality device was coupled with motion sensor units to function as a system of cooperative technologies for usage within exercise science and neurorehabilitation. Specifically, in a subfield of exercise science called biomechanics, the assessment and analysis of movements are critical to the evaluation and prescription of improvements for physical function in both daily and sport-specific activities. Furthermore, the systematic combination of these technologies provided potential end-users with a modality to perform exercise within, and correlated feedback based upon the end-user’s exercise performance. Data collection specific to biomechanics can provide both the end-user and their evaluators with critical feedback that can be used to modify movement efficiency, improve exercise capacity, and evaluate exercise performance. By coordinating both technologies and completing movement-based experiments, the systems were successfully integrated.
Extent
107 p.
Recommended Citation
Davis, Edward P., "A NOVEL FRAMEWORK FOR ANALYSIS OF LOWER LIMB MOVEMENTS: INTEGRATION OF AUGMENTED REALITY AND SENSOR-BASED SYSTEMS" (2022). Electronic Theses and Dissertations 2020 - Present. 855.
https://digitalcommons.fau.edu/etd_general/855
Identifier
FA00013952
Comments
Includes bibliography.|Thesis (MS)--Florida Atlantic University, 2022.|FAU Electronic Theses and Dissertations Collection|Includes bibliography.