Prior research states that sine-wave frequencies below 100 Hz carry the eye movement signal, and frequencies above 100 Hz can be considered noise. Here, we explore the biometric implications of this signal/noise distinction. We expect that there are important individual differences in the way subjects move their eyes, and this should lead to reliable biometric performance in the signal part. Although there is minimal eye-movement information in the noise part of the recordings, there may be important individual differences in the noise. The results suggest that the signal part contains the most important amount of identity-specific information, as anticipated. Nevertheless, the noise part performs substantially better than chance, and therefore must contain individual-specific information that distinguishes between individuals. This pattern holds for both short- (approximately 20 min) and long-term (approximately 1 year) biometric evaluations.

翻译：先前研究表明，低于100 Hz的正弦波频率携带眼动信号，而高于100 Hz的频率可视为噪声。本研究探讨了这种信号/噪声区分对生物特征性能的影响。我们预期受试者眼球运动方式存在重要个体差异，这将使信号部分具备可靠的生物特征识别能力。虽然记录数据的噪声部分包含的眼动信息极少，但噪声中可能存在重要的个体差异。结果表明，信号部分如预期包含了最重要的身份特异性信息。然而，噪声部分的性能显著优于随机水平，因此必然包含能区分个体的特异性信息。这一规律在短期（约20分钟）和长期（约1年）生物特征评估中均成立。