Quantitative evaluation method for visual discomfort due to stereoscopic interactive video

目的研究3D游戏等立体交互视频引起的视觉不适，特别是视觉诱发运动病(VIMS)的评价方法。提出了基于RRI分量的主成分分析(PCA)的生物信号指标，即心电图RR间期和呼吸信号(Resp)分量。通过实验研究，建立了不依赖于操作的指标。在下一步中，我调查了两种研究。一种是研究包括失真在内的立体视频人眼跟踪之间的关系，另一种是人体运动和全局运动向量(GMV)对交互视频视觉信息的影响。最后，提出了生物信号指标与人体运动参数多元回归分析的量化指标。结果表明，该指标能够反映非游戏专家对立体交互视频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.