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What is Classifying VR Head Motion with Time-Series about?

This paper presents a method for classifying head motion trajectories in Virtual Reality (VR) using advanced time-series classifiers, specifically the ROCKET algorithm. The study demonstrates that combining quaternion and Euler representations of head rotations enhances classification accuracy compared to traditional feature-based methods. Experimental results on public datasets indicate that the proposed approach achieves higher predictive performance, encouraging the adoption of time-series methods in VR

Author

konokfaheem71

Language

EN