KOVACOVÁ, Maria, Jakub HORÁK and Gheorghe H. POPESCU. Haptic and Biometric Sensor Technologies, Deep Learning-based Image Classification Algorithms, and Movement and Behavior Tracking Tools in the Metaverse Economy. Analysis and Metaphysics. USA: Addleton Academic Publishers, vol. 21, prosinec, p. 176-192. ISSN 1584-8574. 2022. |
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@article{67022, author = {Kovacová, Maria and Horák, Jakub and Popescu, Gheorghe H.}, article_location = {USA}, article_number = {prosinec}, keywords = {Haptic and biometric sensor technologies; deep learning; image classification; movement and behavior tracking; metaverse}, language = {eng}, issn = {1584-8574}, journal = {Analysis and Metaphysics}, title = {Haptic and Biometric Sensor Technologies, Deep Learning-based Image Classification Algorithms, and Movement and Behavior Tracking Tools in the Metaverse Economy}, url = {https://www.ceeol.com/search/article-detail?id=1088913}, volume = {21}, year = {2022} }
TY - JOUR ID - 67022 AU - Kovacová, Maria - Horák, Jakub - Popescu, Gheorghe H. PY - 2022 TI - Haptic and Biometric Sensor Technologies, Deep Learning-based Image Classification Algorithms, and Movement and Behavior Tracking Tools in the Metaverse Economy JF - Analysis and Metaphysics VL - 21 IS - prosinec SP - 176-192 EP - 176-192 PB - Addleton Academic Publishers SN - 15848574 KW - Haptic and biometric sensor technologies KW - deep learning KW - image classification KW - movement and behavior tracking KW - metaverse UR - https://www.ceeol.com/search/article-detail?id=1088913 N2 - 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. ER -
KOVACOVÁ, Maria, Jakub HORÁK and Gheorghe H. POPESCU. Haptic and Biometric Sensor Technologies, Deep Learning-based Image Classification Algorithms, and Movement and Behavior Tracking Tools in the Metaverse Economy. \textit{Analysis and Metaphysics}. USA: Addleton Academic Publishers, vol.~21, prosinec, p.~176-192. ISSN~1584-8574. 2022.
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