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Hand Gesture based Telemedicine enabled by Mobile VR
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Virtual Reality (VR) is a highly evolving domain and is used in anincreasing number of areas in today's society. Among the technologiesassociated with VR and especially mobile VR, is hand tracking and handgesture recognition. Telemedicine is one of the elds where VR is startingto thrive, and so the concept of adding the use of hand gestures came to bein order to explore the possibilities that can come from it. This researchis conducted with the development of a prototype application that usessome of the most emerging technologies. Manomotion's hand trackingand hand gesture recognition algorithms, and Photon's servers and developerkit, which makes multi-user applications achievable, allowed theconceptual idea of the prototype to become reality. In order to test itsusability and how potential users perceive it, a user study with 24 participantswas made, 8 of which were either studying or working in themedical eld. Additional expert meetings and observations from the userstudy also contributed to ndings that helped show how hand gesturescan aect a doctor consultation in Telemedicine. Findings showed thatthe participants thought of the proposed system as a less costly and timesaving solution, and that they felt immersed in the VR. The hand gestureswere accepted and understood. The participants did not have dicultieson learning or executing them, and had control of the prototype environment.In addition, the data showed that participants considered it to beusable in the medical eld in the future.

Place, publisher, year, edition, pages
2019. , p. 61
Keywords [en]
Virtual Reality, Hand Gestures, Virtual Environment, Telemedicine, Mobile VR, Multi User
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:lnu:diva-88810OAI: oai:DiVA.org:lnu-88810DiVA, id: diva2:1346639
External cooperation
Manomotion
Subject / course
Media Technology
Educational program
Social Media and Web Technologies, Master Programme, 120 credits
Presentation
2019-06-14, Växjö, 10:00 (English)
Supervisors
Examiners
Available from: 2019-10-04 Created: 2019-08-28 Last updated: 2019-10-04Bibliographically approved

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Type fulltextMimetype application/pdf

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Vulgari, Sofia Kiriaki
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf