Prediction Analysis of Optical Tracker Parameters using Machine Learning Approaches for efficient Head Tracking
This addresses operational flaws in head-mounted displays for pilots, but it appears incremental as it focuses on analysis without clear innovation.
The study tackled the problem of head tracker performance degradation under varying environmental conditions by analyzing 6-DoF data from an optical tracker, but no concrete results or numbers were provided.
A head tracker is a crucial part of the head mounted display systems, as it tracks the head of the pilot in the plane/cockpit simulator. The operational flaws of head trackers are also dependent on different environmental conditions like different lighting conditions and stray light interference. In this letter, an optical tracker has been employed to gather the 6-DoF data of head movements under different environmental conditions. Also, the effect of different environmental conditions and variation in distance between the receiver and optical transmitter on the 6-DoF data was analyzed.