The Full-scale Assembly Simulation Testbed (FAST) Dataset

arXiv:2403.08969v1 Announce Type: cross
Abstract: In recent years, numerous researchers have begun investigating how virtual reality (VR) tracking and interaction data can be used for a variety of machine learning purposes, including user identification, predicting cybersickness, and estimating learning gains. One constraint for this research area is the dearth of open datasets. In this paper, we present a new open dataset captured with our VR-based Full-scale Assembly Simulation Testbed (FAST). This dataset consists of data collected from 108 participants (50 …

abstract arxiv assembly begun cs.hc cs.lg data dataset datasets identification machine machine learning reality research researchers scale simulation tracking type virtual virtual reality