Quantitative evaluation method for visual discomfort due to stereoscopic interactive video

本课题研究了三维游戏等立体互动视频引起的视觉不适，特别是视动病（VIMS）的客观评价方法。我提出了使用RRI分量的主成分分析（PCA）的生物信号指数，即心电图（ECG）上的RR间隔和呼吸信号（RESP）分量。通过实验调查，建立了不依赖于操作的指标。在接下来的步骤中，我将调查两种研究。一个是研究包括畸变在内的立体视频眼动追踪之间的关系，另一个是研究身体运动和全局运动矢量（GMV）对互动视频的VIMS的影响。最后利用多元回归分析的方法，提出了生物信号指标和身体运动计算参数的定量指标。结果表明，该指标能够反映非游戏专家对立体互动视频VIMS的客观评价因素。

Objective evaluation method for visual discomfort, especially visual induced motion sickness (VIMS), due to stereoscopic interactive video such as 3D games was studied in this project. I proposed bio-signal index that use principal component analysis (PCA) of RRI component, that is RR intervals on electrocardiograms (ECG), and respiration signal (RESP) component. By experimental investigation, I established the index that is not depends on operations. In the next step, I investigate two kinds of studies. One is a study of relationships between eye tracking on stereoscopic video including distortion, and another is impacts of body motion and global motion vector(GMV) on VIMS of interactive video. Finally quantitative index using multiple regression analysis of the bio-signal index and parameters calculated by body-motion is proposed. The results indicate that the index is able to reflect the objective evaluation factors for non-game-experts on VIMS of stereoscopic interactive video.