ABSTRACT. The aim of this systematic review is to synthesize and analyze real-time sensor data, Internet of Things-based decision support and autonomous cognitive systems, and visual imagery and simulation modeling tools articulating immersive digital worlds. With increasing evidence of digital twin modeling and autonomous visual object detection tools, motion capture and spatial computing technologies, and machine learning-based decision support and haptic object recognition systems instrumental in 3D digital environments, there is an essential demand for comprehending whether data mining techniques, spatial cognition and machine learning algorithms, and context modeling and data visualization tools are instrumental in extended reality environments. A quantitative literature review of ProQuest, Scopus, and the Web of Science was carried out throughout May 2022, with search terms including “the virtual economy of the metaverse” + “spatio-temporal fusion and deep learning computer vision algorithms,” “Internet of Things-based decision support and biometric authentication systems,” and “natural language processing and data mining tools.” As research published in 2022 was inspected, only 154 articles satisfied the eligibility criteria, and 28 sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Distiller SR, ROBIS, and SRDR.

Keywords: spatio-temporal fusion; deep learning; computer vision; Internet of Things; decision support; biometric authentication; natural language processing; data mining; metaverse

How to cite: Negoianu, A.-E. (2022). “Spatio-Temporal Fusion and Deep Learning Computer Vision Algorithms, Internet of Things-based Decision Support and Biometric Authentication Systems, and Natural Language Processing and Data Mining Tools in the Virtual Economy of the Metaverse,” Smart Governance 1(2): 23–38. doi: 10.22381/sg1220222.

Received 26 May 2022 • Received in revised form 24 June 2022
Accepted 27 June 2022 • Available online 30 June 2022