Child Drowsiness / Fatigue Detection | 儿童打瞌睡/疲劳检测

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@user_bb47e3e3/child-drowsiness-fatigue-detection-analysis

Using a fixed camera in the classroom or above the home desk, the system analyzes the child's (student's) facial video in real time, detecting eye closure ratio (PERCLOS — the proportion of time eyes are closed more than 80% within a unit time), head-nodding frequency (rapid downward nod followed by lift), and changes in eye-region glossiness, and computes a comprehensive fatigue index (0-100). | 通过教室或家庭书桌的固定摄像头，实时分析儿童（学生）的面部视频，检测眼部闭合比例（PERCLOS，单位时间内眼睛闭合超过80%的时间占比）、点头动作频率（头部快速下点后抬起）以及眼部区域的光泽度变化，综合计算疲劳指数（0-100）。该技能可帮助教师或家长及时发现儿童困倦状态，调整学习安排或提醒休息。