Mixed Reality
Metaverse Network Traffic dataset consists of comprehensive applications from Virtual, Augmented, and Mixed Realities. Dataset is captured in an intelligent platform built using Oculus Quest 2, traffic manager, and cloud rendering device using Virtual Desktop Streamer. The Dataset is captured in packet capture (.pcap) format. The extracted version in the form of comma-seperated value (.csv) file is also provided. However, .pcap file will provide more flexibility. Dataset is captured for 60, 90, and 120 Hz frames per seconds (FPS) configurations.
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This dataset includes electronics repair guides from MyFixitDataset. From the MyFixit dataset, 50 repair manuals were randomly selected from each of the Mac, PC, Phone, and Electronics categories. These 200 repair manuals with 4754 distinct steps were to be selected and loaded into the Assembly Guidance Ontology. Each step was evaluated by the authors, and suitable parameters were assigned for the Digital Assembly Guidance System.
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Mixed Reality (MR) technologies and the spread of Head-Mounted Displays (HMDs) available at low cost are causing a shift in design education toward the Metaverse. In this digital transformation scenario, there is a need to rethink design and teaching methods. The scientific literature only provides contributions related to interaction design labs that do not include MR education. This paper presents an innovative lab with an integrated multidisciplinary approach that aims to teach students to design the next generation of MR interfaces.
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The dataset corresponds the measurement that was implemented on the control accuracy of a mixed reality application for digital twin based crane.
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