lnu.sePublications
Change search
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
Interactive Mobile Augmented Reality For Fitness Activities
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (Linnaeus University)
2020 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Augmented reality (AR) has revolutionized the way people view the real world, AR has been used across a range of sectors. Recently, researchers examined the possibilities for improving user experience with augmented reality. However, there are few studies on adoption of AR users' interactions with online data resources. The aim of this study is proposing a mobile augmented reality interface for users to interact and engage with online data. The prototype is based on the framework of a PEAR (Public Engagement Augmented Reality) initiative for further AR development. PEAR framework provides an AR extension and enables users to engage with online information through AR representation [1]. This prototype was developed and implemented using Unity game engines C# and Vuforia SDK on the front-end, both NodeJS servers with MongoDB were used on the back-end. The prototype was tested and then used in a 2-week user study to analyse and validate the framework. 

Place, publisher, year, edition, pages
2020. , p. 50
Keywords [en]
Augmented Reality, GPS Marker-less, Vuforia, NodeJS, Unity 3D, MongoDB, User experience, Mobile Augmented Reality(MAR)
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-99672OAI: oai:DiVA.org:lnu-99672DiVA, id: diva2:1512414
Subject / course
Computer Science
Educational program
Computer Engineering Programme, 180 credits
Presentation
2020-09-30, 17:27
Supervisors
Examiners
Available from: 2020-12-21 Created: 2020-12-22 Last updated: 2020-12-28Bibliographically approved

Open Access in DiVA

Bachelor Thesis(1042 kB)981 downloads
File information
File name FULLTEXT01.pdfFile size 1042 kBChecksum SHA-512
1146121879b7115e69243f9657af208980a223501dff53d18856566cd97417ee751eaab01136e31228492a8b256387f8f43cfd5efb0ce5d47cb0012847fc5cc4
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Koech, Irene
By organisation
Department of computer science and media technology (CM)
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 988 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1492 hits
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