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Examination of automatic eyeblink detection by horizontal-vertical electrooculograms under driving environment

机译：通过驾驶环境下水平垂直电帘图进行自动拍摄检测的检查

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摘要

A technique for automatic detection of eyeblink by horizontal (H) / vertical (V) electrooculogram (EOG) under driving environment is proposed. Eight healthy males (21-23 years old) with informed consent participated as subjects. They were asked to operate 4 trials of 50-minute simulated driving and measured H/V EOG. From EOGs, candidate waveforms were extracted then positive (P) and negative (N) peaks were calculated. For eye movement, candidate waveform showed 3 features as follows: (1) the onset of HP was almost equal to that of VN, on the other hand, the onset of HN was equal to that of VP; (2) the ratio of HP/HN was almost equal to that of VP/VN; (3) the value of HP+VN was almost equal to that of HN+VP. If candidate waveform showed none of these 3 features, it was presumed as eyeblink. Then, presumed eyeblinks were compared with manually detected eyeblinks. By applying proposed technique to all subjects in all trials, sensitivity and detection rate were 86% and 92%, respectively. Considering automatic detection of involuntary eyeblink under driving environment, the effectiveness of proposed technique was suggested.
机译：提出了一种通过在驾驶环境下通过水平（H）/垂直（V）电帘图（EOG）自动检测eyeBlink的技术。八个健康的男性（21-23岁），知情同意参加了主题。他们被要求操作4个50分钟模拟驾驶和测量的H / V Eog试验。从EOG，提取候选波形，然后计算阳性（P）和阴性（N）峰。对于眼睛运动，候选波形显示出3个特点如下：（1）HP的开始几乎等于VN的特点，另一方面，HN的开始等于VP的发作; （2）HP / HN的比例几乎等于VP / VN的比例; （3）HP + VN的值几乎等于HN + VP的值。如果候选波形显示出这3个功能中的任何一个，则被推定为EyeBlink。然后，将推定的eyeBlinks与手动检测到的eyblink进行比较。通过将提出的技术应用于所有试验中的所有受试者，敏感性和检测率分别为86％和92％。考虑到在驾驶环境下自愿拍摄的自动检测，提出了所提出的技术的有效性。

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