Recommender system as the support for binaural audio

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10407728" target="_blank" >RIV/00216208:11320/19:10407728 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-030-06246-0_17" target="_blank" >http://dx.doi.org/10.1007/978-3-030-06246-0_17</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-06246-0_17" target="_blank" >10.1007/978-3-030-06246-0_17</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Recommender system as the support for binaural audio

Popis výsledku v původním jazyce

Virtual reality devices nowadays can effectively utilise other senses besides vision, too. The most often used secondary sense is hearing with binaural audio as VR engine. Currently, practical usage of binaural audio as the source of VR is impossible because of the inaccuracy of a general model. On the contrary, measuring the personalised parameters can be time-consuming. Our task was to prove the possibility of reconstruction of the binaural audio parameters in domestic conditions. We have focused on the design of the user interface that can be used independently on the platform. Our proposed browser-based application uses collaborative filtering as a recommender system. We have proven that sound-based navigation in axial plane is possible with 6.6° inaccuracy. The gamification and browser-based implementation make it easier for all people to find the best possible parameters. The resulting profile can be used both with fully VR environment and with semi-VR games.

Název v anglickém jazyce

Recommender system as the support for binaural audio

Popis výsledku anglicky

Virtual reality devices nowadays can effectively utilise other senses besides vision, too. The most often used secondary sense is hearing with binaural audio as VR engine. Currently, practical usage of binaural audio as the source of VR is impossible because of the inaccuracy of a general model. On the contrary, measuring the personalised parameters can be time-consuming. Our task was to prove the possibility of reconstruction of the binaural audio parameters in domestic conditions. We have focused on the design of the user interface that can be used independently on the platform. Our proposed browser-based application uses collaborative filtering as a recommender system. We have proven that sound-based navigation in axial plane is possible with 6.6° inaccuracy. The gamification and browser-based implementation make it easier for all people to find the best possible parameters. The resulting profile can be used both with fully VR environment and with semi-VR games.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA17-22224S" target="_blank" >GA17-22224S: Analytika uživatelských preferencí v modelech multimediální explorace</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Augmented Reality and Virtual Reality

ISBN

978-3-030-06246-0

Počet stran výsledku

14

Strana od-do

233-246

Počet stran knihy

335

Název nakladatele

Springer

Místo vydání

Cham

Kód UT WoS kapitoly

—