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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

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

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50200 - Economics and Business

Result continuities

  • Project

  • 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

  • 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

  • EID of the result in the Scopus database

    2-s2.0-85146478258