2021 44th International Conference on Telecommunications and Signal Processing (TSP) 2021
DOI: 10.1109/tsp52935.2021.9522676
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Towards Artificial Intelligence Driven Immersive Environments in Virtual Reality for Industrial Applications

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Cited by 4 publications
(3 citation statements)
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“…Thus, all critical mechanical components and the frame have been faithfully recreated, while the wires, DC motors, encoders, pulleys and belts were ignored. It was confirmed through initial experiments that as long as the recreated components had the correct scale and behaved exactly as expected, the 3D model would be convincing enough for immersion to occur [58]. In the future, the other components can be recreated as well, but the additional complexity may not necessarily benefit the present digital twin.…”
Section: A 3d Model Of the Overhead Cranementioning
confidence: 71%
See 1 more Smart Citation
“…Thus, all critical mechanical components and the frame have been faithfully recreated, while the wires, DC motors, encoders, pulleys and belts were ignored. It was confirmed through initial experiments that as long as the recreated components had the correct scale and behaved exactly as expected, the 3D model would be convincing enough for immersion to occur [58]. In the future, the other components can be recreated as well, but the additional complexity may not necessarily benefit the present digital twin.…”
Section: A 3d Model Of the Overhead Cranementioning
confidence: 71%
“…• An interaction is designed for the supporting components of the XR experience (such as using the information panels). Mathematical models of these interactions are, at first glance, not needed; however, if one considers the concept of intelligent immersive virtual environments (IIVEs), useful intelligent mechanics can be employed as well [58].…”
Section: ) Interaction Designmentioning
confidence: 99%
“…For effective ML model training, large-scale datasets that include a range of emotional states and virtual scenarios must be gathered and labeled. Additionally, by combining different sources of emotional cues, such as voice, physiological signals, and facial expressions, multimodal data fusion can improve the precision and resilience of emotion identification systems [9]. The integration of ML with VR presents intriguing possibilities for improving emotion recognition in virtual settings.…”
Section: Introductionmentioning
confidence: 99%