Abstract
In this paper, we proposed a novel method for virtual reality (VR) sickness reduction based on dynamic field of view (FOV) processing. Dynamic FOV processing is performed based on the estimated VR sickness for each video frame. The level of sickness is estimated using VR sickness model, which is obtained by defining the relationship between the motion information and the measured VR sickness. For motion information analysis, subregion-based correspondence points tracking is used to efficiently remove outliers and prevent prediction error propagation. Amount of head dispersion is used as a quantitative VR sickness measure, which can be calculated from inertial measurement unit sensor in VR devices. The optimal FOV range was determined by experimentally validating a minimum FOV that can effectively reduce VR sickness with almost negligible loss in presence. The simulation results show a significant decrease of 37% compared to full FOV viewing, when FOV is dynamically varied between full and 60°.
Highlights
Immersive display such as virtual reality (VR) device is widely prevailed
We proposed a novel VR sickness measurement using inertial measurement unit (IMU) sensor in VR device
We proposed the sickness score prediction algorithm based on content analysis and applied it to mapping dynamic field of view (FOV) processing to reduce sickness
Summary
Immersive display such as VR device is widely prevailed. It provides a strong presence illusion, but the major practical issue with head-mounted displays (HMD) is that users commonly experience adverse physical reaction such as headaches, nausea, dizziness, and eye strain that cause uncomfortable VR experience and hampers long-term usages. These symptoms are known as a condition termed simulator sickness, and it is reported that approximately. 80% of HMD users experience simulator sickness (McCauley 1984; Stanney 2003). Among many theories explaining simulator sickness, the Cue conflict theory and postural stability theory are two well-known theories (Kolasinski 1995; Keshavarz 2015)
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