IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v16y2024i9p305-d1463013.html
   My bibliography  Save this article

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

Author

Listed:
  • Konstantinos Sakkas

    (Human Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, Greece)

  • Eirini Georgia Dimitriou

    (Human Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, Greece)

  • Niki Eleni Ntagka

    (Human Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, Greece)

  • Nikolaos Giannakeas

    (Human Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, Greece)

  • Konstantinos Kalafatakis

    (Human Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, Greece
    Faculty of Medicine and Dentistry (Malta Campus), Queen Mary University of London, Triq L-Arċisqof Pietru Pace, VCT 2520 Victoria, Malta)

  • Alexandros T. Tzallas

    (Human Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, Greece)

  • Evripidis Glavas

    (Human Computer Interaction Laboratory (HCILab), Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, 47100 Arta, Greece)

Abstract

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.

Suggested Citation

  • Konstantinos Sakkas & Eirini Georgia Dimitriou & Niki Eleni Ntagka & Nikolaos Giannakeas & Konstantinos Kalafatakis & Alexandros T. Tzallas & Evripidis Glavas, 2024. "Personalized Visualization of the Gestures of Parkinson’s Disease Patients with Virtual Reality," Future Internet, MDPI, vol. 16(9), pages 1-15, August.
  • Handle: RePEc:gam:jftint:v:16:y:2024:i:9:p:305-:d:1463013
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/16/9/305/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/16/9/305/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:16:y:2024:i:9:p:305-:d:1463013. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.