Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • 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
Augmented Reality Smart Glasses in the Smart Factory: Product Evaluation Guidelines and Review of Available Products
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and automation engineering)ORCID iD: 0000-0003-3973-3394
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and automation engineering)ORCID iD: 0000-0001-9512-7554
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and automation engineering)ORCID iD: 0000-0001-8874-0676
2017 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 5, p. 9118-9130, article id 7927376Article in journal (Refereed) Published
Abstract [en]

Augmented reality smart glasses (ARSG) are increasingly popular and have been identified as a vital technology supporting shop-floor operators in the smart factories of the future. By improving our knowledge of how to efficiently evaluate and select ARSG for the shop-floor context, this paper aims to facilitate and accelerate the adoption of ARSG by the manufacturing industry. The market for ARSG has exploded in recent years, and the large variety of products to select from makes it not only difficult but also time consuming to identify the best alternative. To address this problem, this paper presents an efficient step-by-step process for evaluating ARSG, including concrete guidelines as to what parameters to consider and their recommended minimum values. Using the suggested evaluation process, manufacturing companies can quickly make optimal decisions about what products to implement on their shop floors. The paper demonstrates the evaluation process in practice, presenting a comprehensive review of currently available products along with a recommended best buy. The paper also identifies and discusses topics meriting research attention to ensure that ARSG are successfully implemented on the industrial shop floor.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers , 2017. Vol. 5, p. 9118-9130, article id 7927376
Keywords [en]
Augmented reality smart glasses, smart factory, augmented reality, industrial operator support
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Production and Automation Engineering; INF201 Virtual Production Development
Identifiers
URN: urn:nbn:se:his:diva-13922DOI: 10.1109/ACCESS.2017.2703952ISI: 000404270600043Scopus ID: 2-s2.0-85028751835OAI: oai:DiVA.org:his-13922DiVA, id: diva2:1127484
Available from: 2017-07-15 Created: 2017-07-15 Last updated: 2019-11-21Bibliographically approved

Open Access in DiVA

fulltext(7736 kB)9694 downloads
File information
File name FULLTEXT01.pdfFile size 7736 kBChecksum SHA-512
3b0074ac6e291a0bd4add37217e700819b1e699b53a7c099031dd31ed74bf2144bb87ae22f5c3da50f0cc372ba8831078f9641fd97633e9eeaaf5ed982759d22
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Syberfeldt, AnnaDanielsson, OscarGustavsson, Patrik

Search in DiVA

By author/editor
Syberfeldt, AnnaDanielsson, OscarGustavsson, Patrik
By organisation
School of Engineering ScienceThe Virtual Systems Research Centre
In the same journal
IEEE Access
Other Engineering and Technologies not elsewhere specified

Search outside of DiVA

GoogleGoogle Scholar
Total: 9694 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

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 1538 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • 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