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THE PSYCHOLOGICAL STUDY OF BLINK ACTIVITIES USING AN AUTOMATED VIDEO IMAGE ANALYZING SYSTEM

使用自动视频图像分析系统对眨眼活动进行心理学研究

基本信息

批准号：
06610083
负责人：
FUKUDA Kyosuke
金额：
$ 1.28万
依托单位：
FUKUOKA PREFECTURAL UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1994
资助国家：
日本
起止时间：
1994 至 1996
项目状态：
已结题

项目摘要

The purpose of this research was to develop an automated video image analyzing system to detect eye blinks and to exemine what eye blink paramenters were extracted by this system.This system consists of three phases. First, comea images were taken by video camera and were digitized into black and white. Second, displacement of the black part triggered by upper eyelid movement was input into the computer at intervals of 1/60 second. Third, after noise was removed from the data, eye-blinks were detected on the basis of following 4 criteria, that is, 1) blink duration and amplitude was between present values, 2) the upper eyelid reopening rate by blink amplitude was over the preset rate, 3) the rate of blink duration by amplitude was under the preset values, 4) the moving acceleration of upper eyelid was under the preset values. Most blinks were detected in the same way as in observing the eye, since the criteria of the identification could be set with the parameters. Moreover, this measurement closely resembled that of the EOG method, which suggests the validity of this measure. This automated system enabled us to measure the time of blink onset, blink wave-form, and blink duration with considerable ease.Blink parameters, such as blink rates, temporal distribution of blinks, blink latencies, inter blink intervals, blink duration, and blink wave-forms were extracted from this system at ease. The new automated blink analyzing system will produce further blink parameters, so blink researches of this type will be spread furthermore.

本研究的目的是开发一个视频图像自动分析系统来检测眨眼，并研究该系统提取了哪些眨眼参数。首先，用摄像机拍摄COMEA图像，并将其数字化为黑白。第二步，每隔1/60秒将上眼睑运动触发的黑色部分的移位输入计算机。第三，数据去除噪声后，根据以下4个标准进行眨眼检测：1)眨眼时长和幅度在当前值之间；2)眨眼幅度重开率超过预设值；3)眨眼幅度重开率低于预设值；4)上眼皮移动加速度低于预设值。大多数眨眼的检测方式与观察眼睛的方式相同，因为识别的标准可以通过参数设置。此外，这一测量方法与EOG方法的测量结果非常相似，这表明该测量方法的有效性。该系统可以方便地测量用户的眨眼起始时间、眨眼波形和眨眼时长，并能方便地提取眨眼频率、眨眼时间分布、眨眼时延、眨眼间隔、眨眼时长和眨眼波形等参数。新的自动眨眼分析系统将产生更多的眨眼参数，因此这种类型的眨眼研究将得到进一步的推广。