Publication: Viewfinder: supporting the installation and reconfiguration of multi-camera motion capture systems with a mobile application
dc.contributor.coauthor | Batis, Emmanuel | |
dc.contributor.coauthor | Bylund, Mathias | |
dc.contributor.coauthor | Fjeld, Morten | |
dc.contributor.department | N/A | |
dc.contributor.department | N/A | |
dc.contributor.department | Department of Media and Visual Arts | |
dc.contributor.department | Department of Media and Visual Arts | |
dc.contributor.kuauthor | Baytaş, Mehmet Aydın | |
dc.contributor.kuauthor | Çay, Damla | |
dc.contributor.kuauthor | Yantaç, Asım Evren | |
dc.contributor.kuprofile | PhD Student | |
dc.contributor.kuprofile | PhD Student | |
dc.contributor.kuprofile | Faculty Member | |
dc.contributor.schoolcollegeinstitute | Graduate School of Social Sciences and Humanities | |
dc.contributor.schoolcollegeinstitute | Graduate School of Social Sciences and Humanities | |
dc.contributor.schoolcollegeinstitute | College of Social Sciences and Humanities | |
dc.contributor.yokid | N/A | |
dc.contributor.yokid | N/A | |
dc.contributor.yokid | 52621 | |
dc.date.accessioned | 2024-11-09T22:57:12Z | |
dc.date.issued | 2017 | |
dc.description.abstract | We present ViewFinder, a cross-platform mobile application to support the installation and reconfiguration of marker-based motion capture systems with multiple cameras. ViewFinder addresses a common issue when installing or reconfiguring motion capture systems: that system components such as cameras and the host computer can be physically separate and/or difficult to reach, requiring personnel to maneuver between them frequently and laboriously. ViewFinder allows setup technicians or end users to visualize the output of each camera in the system in a variety of ways in real time, on a smartphone or tablet, while also providing a means to make adjustments to system parameters such as exposure or marker thresholds on the fly. The app has been designed and evaluated through a process observing user-centered design principles, and effectively reduces the amount of work involved in installing and reconfiguring motion capture systems. | |
dc.description.indexedby | WoS | |
dc.description.indexedby | Scopus | |
dc.description.openaccess | NO | |
dc.description.publisherscope | International | |
dc.description.sponsorship | European Union's Horizon 2020 research and innovation programme under the Marie SktodoWSKa-Curie grant [676063] This work is part of a project that has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie SktodoWSKa-Curie grant agreement No 676063. | |
dc.identifier.doi | 10.1145/3152832.3156616 | |
dc.identifier.eissn | N/A | |
dc.identifier.isbn | 978-1-4503-5378-6 | |
dc.identifier.issn | N/A | |
dc.identifier.quartile | N/A | |
dc.identifier.scopus | 2-s2.0-85040525666 | |
dc.identifier.uri | http://dx.doi.org/10.1145/3152832.3156616 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/7514 | |
dc.identifier.wos | 463850100055 | |
dc.keywords | ViewFinder | |
dc.keywords | Motion capture | |
dc.keywords | Remote feedback | |
dc.language | English | |
dc.publisher | Assoc Computing Machinery | |
dc.source | 16th International Conference on Mobile and Ubiquitous Multimedia (MUM 2017) | |
dc.subject | Computer science | |
dc.subject | Theory methods | |
dc.subject | Engineering | |
dc.subject | Electrical electronic engineering | |
dc.subject | Telecommunications | |
dc.title | Viewfinder: supporting the installation and reconfiguration of multi-camera motion capture systems with a mobile application | |
dc.type | Conference proceeding | |
dspace.entity.type | Publication | |
local.contributor.authorid | N/A | |
local.contributor.authorid | N/A | |
local.contributor.authorid | 0000-0002-3610-4712 | |
local.contributor.kuauthor | Baytaş, Mehmet Aydın | |
local.contributor.kuauthor | Çay, Damla | |
local.contributor.kuauthor | Yantaç, Asım Evren | |
relation.isOrgUnitOfPublication | 483fa792-2b89-4020-9073-eb4f497ee3fd | |
relation.isOrgUnitOfPublication.latestForDiscovery | 483fa792-2b89-4020-9073-eb4f497ee3fd |