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DC poleHodnotaJazyk
dc.contributor.authorRoig-Maimó, Maria Francesca
dc.contributor.authorMas-Sansó, Ramon
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-10-22T10:50:22Z
dc.date.available2019-10-22T10:50:22Z
dc.date.issued2019
dc.identifier.citationWSCG 2019: full papers proceedings: 27. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 119-126.en
dc.identifier.isbn978-80-86943-37-4 (CD/-ROM)
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464-4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/35616
dc.format8 s.cs
dc.format.mimetypeapplication/odt
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectKalmanův filtrcs
dc.subjecthead-trackercs
dc.subjectpropustnostcs
dc.subjectFittův zákoncs
dc.subjectHCIcs
dc.subjectmobilní zařízenícs
dc.titleCollateral effects of the Kalman Filter on the Throughput of a Head-Tracker for Mobile Devicesen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedWe have developed an image-based head-tracker interface for mobile devices that uses the information of the front camera to detect and track the user’s nose position and translate its movements into a pointing metaphor to the device. However, as already noted in the literature, the measurement errors of the motion tracking leads to a noticeable jittering of the perceived motion. To counterbalance this unpleasant and unwanted behavior, we have applied a Kalman filter to smooth the obtained positions. In this paper we focus on the effect that the use of a Kalman filter can have on the throughput of the interface. Throughput is the human performance measure proposed by the ISO 9241-411 for evaluating the efficiency and effectiveness of non-keyboard input devices. The softness and precision improvements that the Kalman filter infers in the tracking of the cursor are subjectively evident. However, its effects on the ISO’s throughput have to be measured objectively to get an estimation of the benefits and drawbacks of applying a Kalman filter to a pointing device.en
dc.subject.translatedKalman filteren
dc.subject.translatedhead-trackeren
dc.subject.translatedthroughputen
dc.subject.translatedFitts’ lawen
dc.subject.translatedHCIen
dc.subject.translatedmobile devicesen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2019.2901.1.14
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2019: Full Papers Proceedings

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