Detection of scene-irrelevant head movements via eye-head coordination information

作     者：Xiaoxiong FAN Yun CAI Yufei YANG Tianxing XU Yike Li Songhai ZHANG Fanglue ZHANG 

作者机构：Tsinghua UniversityBeijing 100084China Victoria University of WellingtonWellingtonNew Zealand 

出 版 物：《Virtual Reality & Intelligent Hardware》 (虚拟现实与智能硬件（中英文）)

年 卷 期：2021年第3卷第6期

页      面：501-514页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

主　　题：Virtual reality Human-centered computing Human-computer interaction(HCI) Interaction paradigms HCI design and evaluation methods User models 

摘      要：Background Accurate motion tracking in head-mounted displays(HMDs)has been widely used in immersive VR interaction ***,tracking the head motion of users at all times is not always *** a session of HMD usage,users may make scene-irrelevant head rotations,such as adjusting the head position to avoid neck pain or responding to distractions from the physical *** the best of our knowledge,this is the first study that addresses the problem of scene-irrelevant head *** We trained a classifier to detect scene-irrelevant motions using temporal eye head-coordinated information *** investigate the usefulness of the detection results,we propose a technique to suspend motion tracking in HMDs where scene-irrelevant motions are ***/Conclusions Experimental results demonstrate that the scene-relevancy of movements can be detected using eye-head coordination information,and that ignoring scene-irrelevant head motions in HMDs improves user continuity without increasing sickness or breaking immersion.