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：当前研究工作开发了两种新型算法，用于基于图像的百分闭眼率（PERCLOS）和扫视比率（SR）测量。通过相关滤波技术估算PERCLOS。一种创新的灰度与近红外敏感相机结合被动式近红外照明器的组合，比现有技术实现了更高精度。我们开发了两种新型技术分别用于虹膜中心和眼角检测。提出一种名为"形状因子"的指标来确定虹膜位置。利用扩展卡尔曼滤波等标准跟踪算法，可从虹膜位置的时间信息估算扫视速度分布。实验结果表明，SR和PERCLOS的估算能预测操作员从警觉性降低到疲劳状态的程度。