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首页> 外文期刊>International Journal of Biometrics >Biometric verification of a subject with eye movements, with special reference to temporal variability in saccades between a subject's measurements
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Biometric verification of a subject with eye movements, with special reference to temporal variability in saccades between a subject's measurements

机译:通过眼球运动对受试者进行生物识别验证,并特别参考受试者两次测量之间扫视的时间变化

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摘要

We recently studied the application of saccadic eye movements, measured with video cameras, to biometric verification using subjects who receive identical stimulation. The properties of a subject's saccades may vary between measurements over the course of time, so to be useful as a means of biometric verification, the temporal variability of saccades should not distort verification results significantly. We investigated the effects of such variability by repeating the same test several times with the same groups of subjects. We found that temporal variability had only a minor effect on verification results when intervals were from a few hours to two months. Compared with the classification accuracies of approximately 90% of our earlier studies when measurements were run immediately one after another, our present verification accuracies were a few percent lower. In contrast, a long interval of approximately 16 months reduced the accuracies considerably. Our results indicate that reasonably short intervals between a subject's saccade measurements do not hinder verification based on them, while very long intervals between logins can pose a problem. Since most common electronic devices, such as computers and mobile phones, are used at frequent intervals, the analysis of saccadic eye movements seems to be a viable technique for enabling biometric verification.
机译:我们最近研究了使用摄像机测量的眼跳运动在使用受到相同刺激的受试者进行生物特征验证中的应用。受试者扫视的特性可能会随时间的推移而在两次测量之间变化,因此,作为生物识别验证的一种有用方法,扫视的时间变异性不应使验证结果产生明显的失真。我们通过对同一组受试者重复相同的测试几次来研究这种可变性的影响。我们发现时间间隔从几小时到两个月不等时,对验证结果的影响很小。与我们之前的研究中大约90%的分类准确度(一次又一次地进行测量)相比,我们目前的验证准确度要低百分之几。相反,大约16个月的长时间间隔会大大降低精度。我们的结果表明,受试者的扫视测量之间的合理短间隔不会妨碍基于它们的验证,而两次登录之间的间隔过长则会带来问题。由于经常使用频繁的电子设备(例如计算机和移动电话),因此分析眼跳运动似乎是可行的生物特征验证技术。

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