Digital Twin-enabled Industrial Internet of Things, Computer Vision and Spatio- Temporal Fusion Algorithms, and Tactile Sensing and Behavior Modeling Technologies in Photo-Realistic Simulation Environments and across the Interconnected Metaverse
Digital Twin-enabled Industrial Internet of Things, Computer Vision and Spatio-Temporal Fusion Algorithms, and Tactile Sensing and Behavior Modeling Technologies in Photo-Realistic Simulation Environments and across the Interconnected Metaverse

Summary/Abstract: The purpose of this study is to examine real-time object detection, Internet of Things sensors, preventive and predictive maintenance, and 3D simulation tools in the industrial metaverse. Throughout July 2022, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “photo-realistic simulation environments and the interconnected metaverse” + “digital twin-enabled industrial Internet of Things,” “computer vision and spatio-temporal fusion algorithms,” and “tactile sensing and behavior modeling technologies.” As we inspected research published in 2022, only 149 articles satisfied the eligibility criteria. By removing controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 16, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, MMAT, and SRDR.

• Details
• Contents