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EVA: EVAluating at-home rehabilitation exercises using augmented reality and low-cost sensors.

Authors :
Escalona, Felix
Martinez-Martin, Ester
Cruz, Edmanuel
Cazorla, Miguel
Gomez-Donoso, Francisco
Source :
Virtual Reality; Dec2020, Vol. 24 Issue 4, p567-581, 15p
Publication Year :
2020

Abstract

Over one billion people in the world live with some form of disability. This is incessantly increasing due to aging population and chronic diseases. Among the emerging social needs, rehabilitation services are the most required. However, they are scarce and expensive what considerably limits access to them. In this paper, we propose EVA, an augmented reality platform to engage and supervise rehabilitation sessions at home using low-cost sensors. It also stores the user's statistics and allows therapists to tailor the exercise programs according to their performance. This system has been evaluated in both qualitative and quantitative ways obtaining very promising results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13594338
Volume :
24
Issue :
4
Database :
Complementary Index
Journal :
Virtual Reality
Publication Type :
Academic Journal
Accession number :
146391431
Full Text :
https://doi.org/10.1007/s10055-019-00419-4