Personalized Visualization of the Gestures of Parkinson’s Disease Patients with Virtual Reality

Parkinson’s disease is a neurological disorder characterized by motor and non-motor symptoms. Assessment methods, despite the many years of existence of the disease, lack individualized visualization. On the other hand, virtual reality promises immersion and realism. In this paper, we develop an int...

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Main Authors: Konstantinos Sakkas, Eirini Georgia Dimitriou, Niki Eleni Ntagka, Nikolaos Giannakeas, Konstantinos Kalafatakis, Alexandros T. Tzallas, Evripidis Glavas
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Future Internet
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Online Access:https://www.mdpi.com/1999-5903/16/9/305
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author Konstantinos Sakkas
Eirini Georgia Dimitriou
Niki Eleni Ntagka
Nikolaos Giannakeas
Konstantinos Kalafatakis
Alexandros T. Tzallas
Evripidis Glavas
author_facet Konstantinos Sakkas
Eirini Georgia Dimitriou
Niki Eleni Ntagka
Nikolaos Giannakeas
Konstantinos Kalafatakis
Alexandros T. Tzallas
Evripidis Glavas
author_sort Konstantinos Sakkas
collection DOAJ
description Parkinson’s disease is a neurological disorder characterized by motor and non-motor symptoms. Assessment methods, despite the many years of existence of the disease, lack individualized visualization. On the other hand, virtual reality promises immersion and realism. In this paper, we develop an integrated system for visualizing the gestures of Parkinson’s disease patients in a virtual reality environment. With this application, clinicians will have information about the unique motor patterns and challenges they must address in each individual patient’s case, while the collected data can travel and be easily and instantly visualized in any location. At the beginning of this research, the current terms of immersive technologies in conjunction with data visualization and Parkinson’s disease are described. Through an extensive systematic literature review, the technological developments in the field of Parkinson’s data visualization are presented. The findings of the review lead to the experimental procedure and implementation of the application. The conclusions drawn from this work fuel future extensions on the contribution of immersive technologies to various diseases.
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spelling doaj-art-6f320bcff77f42e99b80d4956b47aea32025-08-20T01:55:31ZengMDPI AGFuture Internet1999-59032024-08-0116930510.3390/fi16090305Personalized Visualization of the Gestures of Parkinson’s Disease Patients with Virtual RealityKonstantinos Sakkas0Eirini Georgia Dimitriou1Niki Eleni Ntagka2Nikolaos Giannakeas3Konstantinos Kalafatakis4Alexandros T. Tzallas5Evripidis Glavas6Human Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, GreeceHuman Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, GreeceHuman Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, GreeceHuman Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, GreeceHuman Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, GreeceHuman Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, GreeceHuman Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, GreeceParkinson’s disease is a neurological disorder characterized by motor and non-motor symptoms. Assessment methods, despite the many years of existence of the disease, lack individualized visualization. On the other hand, virtual reality promises immersion and realism. In this paper, we develop an integrated system for visualizing the gestures of Parkinson’s disease patients in a virtual reality environment. With this application, clinicians will have information about the unique motor patterns and challenges they must address in each individual patient’s case, while the collected data can travel and be easily and instantly visualized in any location. At the beginning of this research, the current terms of immersive technologies in conjunction with data visualization and Parkinson’s disease are described. Through an extensive systematic literature review, the technological developments in the field of Parkinson’s data visualization are presented. The findings of the review lead to the experimental procedure and implementation of the application. The conclusions drawn from this work fuel future extensions on the contribution of immersive technologies to various diseases.https://www.mdpi.com/1999-5903/16/9/305Parkinson’svirtual realitypersonalized visualizationgesture recognitiondigital twins
spellingShingle Konstantinos Sakkas
Eirini Georgia Dimitriou
Niki Eleni Ntagka
Nikolaos Giannakeas
Konstantinos Kalafatakis
Alexandros T. Tzallas
Evripidis Glavas
Personalized Visualization of the Gestures of Parkinson’s Disease Patients with Virtual Reality
Future Internet
Parkinson’s
virtual reality
personalized visualization
gesture recognition
digital twins
title Personalized Visualization of the Gestures of Parkinson’s Disease Patients with Virtual Reality
title_full Personalized Visualization of the Gestures of Parkinson’s Disease Patients with Virtual Reality
title_fullStr Personalized Visualization of the Gestures of Parkinson’s Disease Patients with Virtual Reality
title_full_unstemmed Personalized Visualization of the Gestures of Parkinson’s Disease Patients with Virtual Reality
title_short Personalized Visualization of the Gestures of Parkinson’s Disease Patients with Virtual Reality
title_sort personalized visualization of the gestures of parkinson s disease patients with virtual reality
topic Parkinson’s
virtual reality
personalized visualization
gesture recognition
digital twins
url https://www.mdpi.com/1999-5903/16/9/305
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