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Supporting Sign Language Narrations in the Museum

Bibliographic Data

ID13125237
AuthorsNikolaos Partarakis (0000-0003-0497-7348, FORTH Institute of Computer Science, corresponding author), Xenophon Zabulis (0000-0002-1520-4327, FORTH Institute of Computer Science), Michalis Foukarakis (FORTH Institute of Computer Science), Mirοdanthi Moutsaki (FORTH Institute of Computer Science), Emmanouil Zidianakis (0000-0001-9663-1242, FORTH Institute of Computer Science), Andreas Patakos (FORTH Institute of Computer Science), Ilia Adami (FORTH Institute of Computer Science), Danae Kaplanidi (0000-0001-5991-7516, Piraeus Bank), Christodoulos Ringas (Piraeus Bank), Eleana Tasiopoulou (Piraeus Bank)
Year2021
Volume5
Issue1
Pages1-20
Publication date2021-12-21
Open AccessYes
TypeARTICLE
VenueHeritage (JOURNAL)
Journal identifiersISSN: 2571-9408 • E-ISSN: 2571-9408
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/heritage5010001
OpenAlexW4200028239
LanguageEN
Citations received5
References cited43

The accessibility of Cultural Heritage content for the diverse user population visiting Cultural Heritage Institutions and accessing content online has not been thoroughly discussed. Considering the penetration of new digital media in such physical and virtual spaces, lack of accessibility may result in the exclusion of a large user population. To overcome such emerging barriers, this paper proposes a cost-effective methodology for the implementation of Virtual Humans, which are capable of narrating content in a universally accessible form and acting as virtual storytellers in the context of online and on-site CH experiences. The methodology is rooted in advances in motion capture technologies and Virtual Human implementation, animation, and multi-device rendering. This methodology is employed in the context of a museum installation at the Chios Mastic Museum where VHs are presenting the industrial process of mastic processing for chewing gum production

Animation · Computer graphics (images · Context (archaeology · Cultural heritage · Geography · Multimedia · Population · Rendering (computer graphics · Sociology · World Wide Web · Computer Science · Hand Gesture Recognition Systems · Human Motion and Animation · Human Pose and Action Recognition

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Citations per year1.25
Citation span2022 - 2026 (5)
Highly citedNo

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Open DOIOpen Access
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