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REHAB 2014

Research Article

Depth Images Processing Algorithm to Analyze and Correct in Real Time the Verticality of Multiple Sclerosis Patients during Exercise

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2014.255322,
        author={Bego\`{o}a Garc\^{\i}a Zapirain and Gonzalo Eguiluz-Perez},
        title={Depth Images Processing Algorithm to Analyze and Correct in Real Time the Verticality of Multiple Sclerosis Patients during Exercise},
        proceedings={REHAB 2014},
        publisher={ICST},
        proceedings_a={REHAB},
        year={2014},
        month={7},
        keywords={image processing time-of-flight verticality improvement},
        doi={10.4108/icst.pervasivehealth.2014.255322}
    }
    
  • Begoña García Zapirain
    Gonzalo Eguiluz-Perez
    Year: 2014
    Depth Images Processing Algorithm to Analyze and Correct in Real Time the Verticality of Multiple Sclerosis Patients during Exercise
    REHAB
    ICST
    DOI: 10.4108/icst.pervasivehealth.2014.255322
Begoña García Zapirain, Gonzalo Eguiluz-Perez1,*
  • 1: DeustoTech
*Contact email: geguiluz@deusto.es

Abstract

Any person with Multiple Sclerosis (MS), regardless of the severity of their disability, needs regular physical activity. Poorly performed exercises could aggravate muscle imbalances and worsen the patient’s health. In this paper, we propose a human body verticality detection system using a time-of-flight camera as a tool to detect incorrect postures and improve them in real time. The prototype uses a depth images processing algorithm to analyze and evaluate the position of patients during exercise. Preliminary results, based on a test with people without musculoskeletal problems and/or neurodegenerative diseases are promising and suggest that the system may be useful both for patients and medical professionals.

Keywords
image processing time-of-flight verticality improvement
Published
2014-07-23
Publisher
ICST
http://dx.doi.org/10.4108/icst.pervasivehealth.2014.255322
Copyright © 2014–2025 ICST
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