Using Deep Learning to Increase Eye-Tracking Robustness, Accuracy, and Precision in Virtual Reality [0.03%]
使用深度学习提高虚拟现实中的眼动追踪的鲁棒性、准确性和精确度
Kevin Barkevich,Reynold Bailey,Gabriel J Diaz
Kevin Barkevich
Algorithms for the estimation of gaze direction from mobile and video-based eye trackers typically involve tracking a feature of the eye that moves through the eye camera image in a way that covaries with the shifting gaze direction, such a...
ManiLoco: A VR-Based Locomotion Method for Concurrent Object Manipulation [0.03%]
基于VR的兼顾对象操作的移动方法-ManiLoco
Dayu Wan,Xiaolei Guo,Jiahui Dong et al.
Dayu Wan et al.
The use of virtual reality (VR) in laboratory skill training is rapidly increasing. In such applications, users often need to explore a large virtual environment within a limited physical space while completing a series of hand-based tasks ...
Harsimran Kaur,Swati Jindal,Roberto Manduchi
Harsimran Kaur
Over the past several years, a number of data-driven gaze tracking algorithms have been proposed, which have been shown to outperform classic model-based methods in terms of gaze direction accuracy. These algorithms leverage the recent deve...