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

被引：12

作者：

Kiryu, Tohru ^{[1
,3
]}

Nomura, Eri ^{[1
]}

Bando, Takehiko ^{[2
]}

Kobayashi, Naoki ^{[4
]}

机构：

[1] Niigata Univ, Grad Sch Sci & Technol, Nishi Ku, Niigata 9502181, Japan

[2] Niigata Univ, Grad Sch Med & Dent Sci, Niigata 9502181, Japan

[3] Niigata Univ, Ctr Transdisciplinary Res, Niigata 9502181, Japan

[4] Nippon Telephone & Telegraph, R&D Ctr, Tokyo, Japan

来源：

DISPLAYS | 2008年 / 29卷 / 02期

关键词：

cybersickness; autonomic nervous regulation; image motion vector; time-frequency structure;

D O I：

10.1016/j.displa.2007.10.005

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

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. (c) 2007 Elsevier B.V. All rights reserved.

引用

页码：176 / 183

页数：8

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