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Time-frequency structure of image motion vectors around cybersickness intervals determined with biosignals

机译:由生物信号确定的晕机间隔周围图像运动向量的时频结构

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摘要

Vection-inducing or shaky video images sometimes cause visually induced motion sickness (cybersickness). We determined potential cybersickness intervals and trigger points with biosignals and analyzed video images with the motion vectors. For video images that strongly induced cybersickness, zone intervals with a high correlation coefficient between local and global motion vectors were located at the peaks of trigger points in the time-distribution obtained from 25 subjects. Around the trigger points, the time-frequency structure of global motion vectors included temporal frequencies ranging from 0.3 to 2.5 Hz. This approach will be useful for predicting trigger points in video images from only motion vectors.
机译:诱发震动或晃动的视频图像有时会导致视觉诱发的晕动病(网络晕厥)。我们确定了潜在的晕机间隔和生物信号触发点,并通过运动矢量分析了视频图像。对于强烈诱发晕动病的视频图像,局部和全局运动矢量之间具有高相关系数的区域间隔位于从25个对象获得的时间分布中的触发点的峰值处。在触发点周围,全局运动矢量的时频结构包括范围为0.3到2.5 Hz的时间频率。该方法对于仅从运动矢量预测视频图像中的触发点将很有用。

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