~/talk

Investigating the Effect of Sensor Data Visualization Variances in Virtual Reality

Talkat VRST 2021 · 2021-12-08..12-10· [data-visualization, webxr]
name:Thanh Vu
links:none on file
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slides:none on file

A VR system streams RealSense RGB‑D via ROS between two Ethernet‑linked PCs, compresses color and split 16‑bit depth to JPEG, reconstructs point clouds with a pinhole model, and tests nine visualization settings while 12 participants perform 95 puzzle assemblies. Results show low resolution and uncolored points significantly increase completion time and reported stress, colorized point clouds reduce frustration, frame rate and compression limit fidelity, and varying resolution within the study bounds yields only a 5% average change; 12 participants 95 tasks.

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