Acoustic Environment Recognition and Visual Tracking Algorithms, Deep Learning-based Ambient Sound Processing Tools, and Geospatial Mapping and Remote Sensing Technologies in a Real-Time Interoperable Decentralized Metaverse
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002635" target="_blank" >RIV/75081431:_____/23:00002635 - isvavai.cz</a>
Result on the web
<a href="https://addletonacademicpublishers.com/contents-lpi/2708-volume-22-2023/4457-acoustic-environment-recognition-and-visual-tracking-algorithms-deep-learning-based-ambient-sound-processing-tools-and-geospatial-mapping-and-remote-sensing-technologies-in-a-re" target="_blank" >https://addletonacademicpublishers.com/contents-lpi/2708-volume-22-2023/4457-acoustic-environment-recognition-and-visual-tracking-algorithms-deep-learning-based-ambient-sound-processing-tools-and-geospatial-mapping-and-remote-sensing-technologies-in-a-re</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Acoustic Environment Recognition and Visual Tracking Algorithms, Deep Learning-based Ambient Sound Processing Tools, and Geospatial Mapping and Remote Sensing Technologies in a Real-Time Interoperable Decentralized Metaverse
Original language description
The present study systematically reviews the existing research on holographic imaging and immersive 3D technologies, multi-machine cooperation and digital twin modeling tools, and computer vision and neural network-based recognition algorithms Our findings indicate that multisensory user experiences can be achieved by use of image processing computational and visual perception algorithms, digital contact tracing and cloud-based cognitive technologies, and voice and gesture recognition tools. Throughout January 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “real-time interoperable decentralized metaverse” + “acoustic environment recognition and visual tracking algorithms,” “deep learning-based ambient sound processing tools,” and “geospatial mapping and remote sensing technologies.” As research published between 2022 and 2023 was inspected, only 171 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 34 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Linguistic and Philosophical Investigations
ISSN
1841-2394
e-ISSN
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Volume of the periodical
22
Issue of the periodical within the volume
Neuveden
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
128-144
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85166079569