Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5561
Full metadata record
DC FieldValueLanguage
dc.contributor.authorÖzcan, R.-
dc.contributor.authorOrhan, F.-
dc.contributor.authorDemirci, Muhammed Fatih-
dc.contributor.authorAbul, O.-
dc.date.accessioned2021-09-11T15:19:15Z-
dc.date.available2021-09-11T15:19:15Z-
dc.date.issued2012en_US
dc.identifier.citation4th International ICST Conference on Mobile Wireless Middleware, Operating Systems, and Applications, MobilWare 2011, 22 June 2011 through 24 June 2011, London, 90407en_US
dc.identifier.isbn9783642306068-
dc.identifier.issn1867-8211-
dc.identifier.urihttps://doi.org/10.1007/978-3-642-30607-5_19-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5561-
dc.description.abstractHandling inaccurate and noisy sensor readings are among important challenges while implementing augmented reality applications on smartphones. As a result, we need to smooth the sensor readings for steady operation. However, no smoothing algorithm performs best in all cases as there is an inherent tradeoff. On one hand, excessive smoothing slows down the effect of device movements, hence makes applications less responsive. On the other hand, insufficient smoothing causes objects on the screen to constantly move back and forth even while the device is steady, hence makes applications too responsive. Clearly, both of the extremes cause augmented reality applications to be less effective in terms of human-computer interaction performance. In this paper, we propose an adaptive smoothing method based on the rate of change in device view direction. Basically, the method adjusts the smoothing level adaptively based on the phone movement. Our experimental results show that our adaptive approach, in comparison to previous proposals, achieves a better smoothing for various cases of phone movements. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.en_US
dc.language.isoenen_US
dc.relation.ispartofLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineeringen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAugmented realityen_US
dc.subjectnoiseen_US
dc.subjectsensorsen_US
dc.subjectsmoothingen_US
dc.titleAn Adaptive Smoothing Method for Sensor Noise in Augmented Reality Applications on Smartphonesen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.volume93 LNICSen_US
dc.identifier.startpage209en_US
dc.identifier.endpage218en_US
dc.identifier.scopus2-s2.0-84869593599en_US
dc.institutionauthorAbul, Osman-
dc.institutionauthorDemirci, Muhammed Fatih-
dc.identifier.doi10.1007/978-3-642-30607-5_19-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference4th International ICST Conference on Mobile Wireless Middleware, Operating Systems, and Applications, MobilWare 2011en_US
dc.identifier.scopusqualityQ4-
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.3. Department of Computer Engineering-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

3
checked on Dec 21, 2024

Page view(s)

106
checked on Dec 23, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.