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The application of motion capture technology in a clinical evaluation and a therapy for people with autism spectrum disorder

Published online by Cambridge University Press:  13 August 2021

S. Baasansuren
Affiliation:
Students` Scientific Association, Department Of Ophtalmology, Medical University of Silesia, Katowice, Poland
D. Kaźmierczak
Affiliation:
Students` Scientific Association, Department Of Anesthesiology And Intensive Care, Medical University of Silesia in Katowice, Katowice, Poland
M. Świątko
Affiliation:
Students` Scientific Association, Department Of Anesthesiology And Intensive Care, Medical University of Silesia in Katowice, Katowice, Poland
K. Krysta*
Affiliation:
Department Of Rehabilitation Psychiatry, Medical University of Silesia, Katowice, Poland
*
*Corresponding author.

Abstract

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Introduction

Autism spectrum disorder (ASD) encopasses disorders with incompletely known etiology. Facial expression of people with ASD does not often reflect their emotions adequately or are strongly limited. In addition, they have a problem with joint attention. The symptoms of autism spectrum disorder are very various and have different severity that can change over time.There are still no objective methods for estimating these symptoms, which creates a huge diagnostic and clinical problem. Motion Capture technology makes the possibility of this objective assessment of the severity of initial symptoms, their change over time, as well as specificity for people with ASD.

Objectives

To assess the application of Motion Capture technology in a clinical evaluation and a therapy for people with ASD.

Methods

We analyzed literature related to the topic available at medical bases: PubMed, ResearchGate and Google Scholar. The articles which were included had been published after 2000 and have an English or Polish abstract.

Results

We included 2 trials involving 81 participants (children and adolescents): 1 trial reported on quantifying the social symptoms of autism and 1 trial on differences of facial expressions in people with and without ASD.

Conclusions

This capture of motions and the analysis of specific movements of people with autism spectrum disorder might be very useful in clinical practice, scientific research, therapy and also in creation of functioning systems at homes, schools and kindergartens. Thanks to this, people with ASD will be able to function better in society.

Disclosure

No significant relationships.

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the European Psychiatric Association
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