The current research work has developed two novel algorithms for image-based measurement of Percentage Closure of Eyes-PERCLOS and Saccadic Ratio-SR. The PERCLOS is estimated by correlation filter-based technique. An innovative combination of gray scale and Near Infrared sensitive camera with passive NIR illuminator helps to achieve higher accuracy than the existing art. Two novel techniques have been developed for the detection of iris centre and eye corners. We propose an index called Form Factor to find the iris position. The saccadic velocity profile can be estimated from the temporal information of the iris positions using standard tracking algorithm such as Extended Kalman filter. Experimental results indicate that the estimation of both SR and PERCLOS can predict the level of alertness of an operator from onset of diminished alertness to fatigue.
翻译：目前的研究研制了两种新型算法,用于根据图像测量眼睛-PERCLOS和Saccidic Virity-SR的百分率。PERCLOS是用相关过滤法估算的。灰度和近红外敏感照相机与被动NIR发光机的创新组合有助于达到高于现有艺术的准确性。为检测iris中心和眼角开发了两种新技术。我们提出了一个名为“表因系数”的索引,以查找iris位置。通过使用扩展卡尔曼过滤法等标准跟踪算法对iris位置的时间信息来估算 scassic 速度剖面图。实验结果表明,对SR和PERCLOS的估算可以预测操作者从降低警惕到疲劳的警惕程度。
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