Publication:
Labdesignar: configuring multi-camera motion capture systems in augmented reality

dc.contributor.coauthorFjeld, Morten
dc.contributor.departmentDepartment of Media and Visual Arts
dc.contributor.departmentGraduate School of Social Sciences and Humanities
dc.contributor.departmentKUAR (KU Arçelik Research Center for Creative Industries)
dc.contributor.kuauthorBaytaş, Mehmet Aydın
dc.contributor.kuauthorYantaç, Asım Evren
dc.contributor.schoolcollegeinstituteCollege of Social Sciences and Humanities
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SOCIAL SCIENCES AND HUMANITIES
dc.contributor.schoolcollegeinstituteResearch Center
dc.date.accessioned2024-11-09T23:49:58Z
dc.date.issued2017
dc.description.abstractWe present LabDesignAR, an augmented reality application to support the planning, setup, and reconfiguration of marker-based motion capture systems with multiple cameras. LabDesignAR runs on the Microsoft HoloLens and allows the user to place an arbitrary number of virtual "holographic" motion capture cameras into an arbitrary space, in situ. The holographic cameras can be arbitrarily positioned, and different lens configurations can be selected to visualize the resulting fields of view and their intersections. LabDesignAR also demonstrates a hybrid natural gestural interaction technique, implemented through a fusion of the vision-based hand tracking capabilities of an augmented reality headset and instrumented gesture recognition with an electromyography armband. The source code for LabDesignAR and its supporting components can be found online.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.doi10.1145/3139131.3141778
dc.identifier.eissnN/A
dc.identifier.isbn978-1-4503-5548-3
dc.identifier.issnN/A
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85038571541
dc.identifier.urihttps://doi.org/10.1145/3139131.3141778
dc.identifier.urihttps://hdl.handle.net/20.500.14288/14466
dc.identifier.wos455354500086
dc.keywordsLabDesignAR
dc.keywordsMotion capture
dc.keywordsAugmented reality
dc.keywordsHoloLens
dc.keywordsGestural interaction
dc.keywordsnatural interaction
dc.language.isoeng
dc.publisherAssoc Computing Machinery
dc.relation.ispartofVRST'17: Proceedings of The 23rd ACM Symposium on Virtual Reality Software and Technology
dc.subjectComputer science
dc.subjectSoftware engineering
dc.subjectComputer science
dc.subjectTheory methods
dc.titleLabdesignar: configuring multi-camera motion capture systems in augmented reality
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorBaytaş, Mehmet Aydın
local.contributor.kuauthorYantaç, Asım Evren
local.publication.orgunit1GRADUATE SCHOOL OF SOCIAL SCIENCES AND HUMANITIES
local.publication.orgunit1College of Social Sciences and Humanities
local.publication.orgunit1Research Center
local.publication.orgunit2Department of Media and Visual Arts
local.publication.orgunit2KUAR (KU Arçelik Research Center for Creative Industries)
local.publication.orgunit2Graduate School of Social Sciences and Humanities
relation.isOrgUnitOfPublication483fa792-2b89-4020-9073-eb4f497ee3fd
relation.isOrgUnitOfPublicatione192fff1-4efe-45a7-ab71-30233fc185a9
relation.isOrgUnitOfPublication738de008-9021-4b5c-a60b-378fded7ef70
relation.isOrgUnitOfPublication.latestForDiscovery483fa792-2b89-4020-9073-eb4f497ee3fd
relation.isParentOrgUnitOfPublication3f7621e3-0d26-42c2-af64-58a329522794
relation.isParentOrgUnitOfPublicationc5c9bf5f-4655-411c-a602-0d68f2e2ad88
relation.isParentOrgUnitOfPublicationd437580f-9309-4ecb-864a-4af58309d287
relation.isParentOrgUnitOfPublication.latestForDiscovery3f7621e3-0d26-42c2-af64-58a329522794

Files