Haptic and Biometric Sensor Technologies, Deep Learning-based Image Classification Algorithms, and Movement and Behavior Tracking Tools in the Metaverse Economy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F22%3A00002506" target="_blank" >RIV/75081431:_____/22:00002506 - isvavai.cz</a>
Result on the web
<a href="https://www.ceeol.com/search/article-detail?id=1088913" target="_blank" >https://www.ceeol.com/search/article-detail?id=1088913</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Haptic and Biometric Sensor Technologies, Deep Learning-based Image Classification Algorithms, and Movement and Behavior Tracking Tools in the Metaverse Economy
Original language description
The authors of this paper aim to summarize the results of previous research suggesting that machine vision algorithms, immersive technologies, and customer personalization tools enable personalized digital shopping experiences in virtual stores.
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
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Analysis and Metaphysics
ISSN
1584-8574
e-ISSN
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Volume of the periodical
21
Issue of the periodical within the volume
prosinec
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
176-192
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85146478258