Consumer Personalized Gesture Recognition in UAV-Based Industry 5.0 Applications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F23%3A43907916" target="_blank" >RIV/60076658:12310/23:43907916 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10229211" target="_blank" >https://ieeexplore.ieee.org/document/10229211</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TCE.2023.3308209" target="_blank" >10.1109/TCE.2023.3308209</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Consumer Personalized Gesture Recognition in UAV-Based Industry 5.0 Applications

Popis výsledku v původním jazyce

In the era of Industry 5.0, technology promises the rapid and smart growth of industries to improve the system performance substantially and be sustainable and more secure. Industry 5.0 enabled the conventional unmanned aerial vehicle (UAV) industries to represent a dynamic result that can offer various services irrespective of time, place, and in broader physical range. Hence, satellite systems of high performance having advanced pre-processing transmission capabilities are gaining considerable attention to increase overall system throughput. In enhancing the efficiency of interaction between humans and machines, gesture recognition in UAV-based industry 5.0 can perform a vital role as the transmission medium in end-user based applications with low latency periods. However, few smart consumer personalized gesture recognition (CPGR) systems are insufficient in the privacy preservation in UAV-based industry 5.0 applications. Also, privacy-preserving is time-consuming, especially for model training and real-time CPGR. Although wireless technologies with big-data schemes provide such applications but lack emotional attachments. This article proposes a gesture-aware system with pre-processing connected systems using a powerful emotion detection system by incorporating a conventional analysis-modification-synthesis framework used for industry 5.0 applications. This study demonstrates the effectiveness of different noise estimation techniques on the proposed Modulation domain Recognition (MDSR) approach for UAV-based Industry 5.0.

Název v anglickém jazyce

Consumer Personalized Gesture Recognition in UAV-Based Industry 5.0 Applications

Popis výsledku anglicky

In the era of Industry 5.0, technology promises the rapid and smart growth of industries to improve the system performance substantially and be sustainable and more secure. Industry 5.0 enabled the conventional unmanned aerial vehicle (UAV) industries to represent a dynamic result that can offer various services irrespective of time, place, and in broader physical range. Hence, satellite systems of high performance having advanced pre-processing transmission capabilities are gaining considerable attention to increase overall system throughput. In enhancing the efficiency of interaction between humans and machines, gesture recognition in UAV-based industry 5.0 can perform a vital role as the transmission medium in end-user based applications with low latency periods. However, few smart consumer personalized gesture recognition (CPGR) systems are insufficient in the privacy preservation in UAV-based industry 5.0 applications. Also, privacy-preserving is time-consuming, especially for model training and real-time CPGR. Although wireless technologies with big-data schemes provide such applications but lack emotional attachments. This article proposes a gesture-aware system with pre-processing connected systems using a powerful emotion detection system by incorporating a conventional analysis-modification-synthesis framework used for industry 5.0 applications. This study demonstrates the effectiveness of different noise estimation techniques on the proposed Modulation domain Recognition (MDSR) approach for UAV-based Industry 5.0.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS

ISSN

0098-3063

e-ISSN

1558-4127

Svazek periodika

69

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

842-849

Kód UT WoS článku

001164696000005

EID výsledku v databázi Scopus

2-s2.0-85168699275