Adult Facial Fatigue / Stress Index | 成人面部疲劳/压力指数分析

Using a smart mirror or fixed camera, the system analyzes high-resolution adult facial images or short videos to detect physiological features such as under-eye bag area (puffiness/shadow under the lower eyelid), dark-circle grayscale (darkness around the eyes), mouth-corner drop angle (angle between corner of mouth and horizontal), and glabellar frown lines (vertical lines between the brows), and computes a comprehensive fatigue/stress index (0-100). The skill supports workplace health management and personal state monitoring, helping users understand their energy level. Application scenarios: smart mirrors, office health displays, smartphone selfie apps, personal health management. The system auto-evaluates daily or per use, outputs the fatigue index, and suggests rest, hydration, or relaxation. Skill features: modern workers commonly face fatigue and stress that often go unnoticed. Non-contact facial analysis lets individuals and enterprises understand the state in time, adjust work rhythm, and prevent overwork. Can be integrated into smart mirrors, attendance terminals, or health management systems as a practical employee-care tool. | 通过智能镜子或固定摄像头，分析成人面部的高清图像或视频，检测眼袋面积（下眼睑区域的浮肿或阴影面积）、黑眼圈灰度（眼眶区域的暗沉程度）、嘴角下垂角度（口角与水平线的夹角）以及皱眉纹（眉间川字纹）等生理特征，综合计算疲劳/压力指数（0-100分）。该技能可用于职场健康管理、个人状态监测，辅助了解自身精力水平。应用场景：智能镜子、办公室健康屏、手机APP自拍、个人健康管理。系统每日或每次使用时自动评估，输出疲劳指数，并建议休息、补水或进行放松训练。技能特点：现代职场人普遍面临疲劳和压力问题，但常被忽视。通过非接触式面部分析，可帮助个人和企业及时了解状态，调整工作节奏，预防过劳。该技能可集成到智能镜子、考勤终端或健康管理系统中，成为员工关怀的实用工具。

by @smyx-sunjinhui·MIT-0