Augmented reality in sport and healthcare sciences
A review release_byfb7ppxrndbrjw4docfcrquey

by Bakhytzhan Omarov, Baurzhan Doskarayev, Nurlan Omarov, Bolat Kurmanbayev, Yermek Bitabarov

Published in International Journal of Health Sciences by Universidad Tecnica de Manabi.

2022   p9847-9859

Abstract

The term "augmented reality," refers to the adding of new data to an existing environment. When contrasted to other innovations, augmented reality may provide benefits not previously available. This research aimed to describe and get a better understanding of the advantages that augmented reality may bring to the training of athletes. In this review we propose the findings were evaluated in terms of their significance in athletics in sports and healthcare sectors. According to the findings of our study, a variety of augmented reality methods could be employed for teaching as well as delivering feedback. It may be possible to change some of the rules in order to level the playing field amongst players with varying levels of expertise. The perception of the audience might be enhanced further by the addition of more information. We also investigated the limits of existing augmented reality systems, as well as their usefulness in training, and offered some pointers for the creation of various types of training situations. This paper describes augmented reality techniques and reviews augmented reality tools for sport and health sciences. Current study describes augmented reality tools. Firstly, we explain what the augmented reality stands for. 
In application/xml+jats format

Archived Files and Locations

application/pdf   636.0 kB
file_d6bth4eqefbwzk6m3uqeg6lifi
sciencescholar.us (publisher)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2022-09-12
Journal Metadata
Open Access Publication
Not in DOAJ
In ISSN ROAD
Not in Keepers Registry
ISSN-L:  2550-696X
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 659f2e80-2326-44a6-b60a-847521fbd111
API URL: JSON