Human Recognition based on Remote Video Capture of Eye Movements and Blinking

随着先进技术越来越多地融入我们的日常生活，人们比以往任何时候都更加需要可靠的生物特征认证和识别系统，以提高安全性和隐私性，并降低被规避的风险。尽管准确度很高，但目前的生物识别技术依赖于特定的物理特征，如指纹、面部和虹膜特征，很容易受到欺骗和伪造。因此，确实需要为人类识别开发更可靠的生物识别解决方案，这些解决方案能够连续识别/认证人，而不需要他们采取具体行动(例如，将手指放在扫描仪上或查看虹膜相机)。在这个项目中，我们提出了一种基于远程视频捕捉眼动和眨眼的人识别的可行性研究。基于眼球跟踪数据的解决方案提供了一种更灵活的设计，在远距离拍摄的视频记录中捕捉眼动和眨眼模式，这是非侵入性的，分析更简单，更难欺骗。此外，它还提供了一个额外的优势，即为生物识别提取的相同特征可以用于确定疲劳或其他生理条件或行为变化。

With increasing integration of advanced technologies into our daily life, the need of reliable biometricauthentication and identification systems is more pronounced than ever before in order to improve security andprivacy and to reduce the risk of circumvention. Despite high accuracy, current biometric technologies relyingon particular physical features such as fingerprints, face and iris characteristics are vulnerable to spoofing andforgery. Therefore, there is a real need for development of more reliable biometric solutions for humanrecognition that are able to continuously identify/authenticate people without requiring specific actions fromthem (e.g. placing fingers on an scanner or looking into an iris camera). In this project, we propose a feasibilitystudy on human recognition based on remote video capture of eye movements and blinking. The proposedsolution based on eye tracking data offers a more flexible design, where eye movement and blinking patternsare captured on video recordings taken from greater distance which is non-intrusive, simpler to analyze andmore difficult to spoof. Furthermore, it offers an added advantage where the same features extracted forbiometric recognition can be used for determining fatigue or other physiological conditions or behavioralchanges.