Adult Facial HRV Trend Monitoring (rPPG) | 成人心率变异性（HRV）趋势监测（面部）

Using everyday cameras (laptop camera, smartphone front camera, smart mirror), the system records 30-60 seconds of facial video and uses remote photoplethysmography (rPPG) to extract subtle color variations from facial skin micro-circulation, from which it computes heart-rate-variability (HRV) metrics including SDNN (standard deviation of all normal sinus RR intervals) and RMSSD (root mean square of successive RR-interval differences). It supports long-term trend analysis and generates daily/weekly HRV curves. Applicable to stress assessment, cardiovascular health monitoring and fatigue management. Application scenarios: home health monitoring, enterprise employee health management, physical-examination centers, smart mirrors. Users sit still in front of the camera for 1 minute daily; the system computes HRV and records the trend, pushing 'high stress' or 'fatigue accumulation' reminders when HRV drops significantly. Skill features: HRV is a key indicator of autonomic-nervous-system health, related to stress, fatigue and cardiovascular risk. Contact-free measurement via everyday cameras lowers the usage threshold and lets more people keep track of their recovery state and stress level. Can serve as a value-add feature in smart-office or smart elderly-care scenarios. | 通过日常摄像头（如电脑摄像头、手机前置摄像头）拍摄面部视频（30-60秒），利用光电容积描记技术（远程光电容积描记术，rPPG）提取面部皮肤微循环的微弱色度变化，从中计算心率变异性（HRV）指标，包括SDNN（全部正常窦性心搏间期的标准差）、RMSSD（相邻心搏间期差值的均方根）等。支持长期趋势分析，生成每日/每周HRV变化曲线。该技能可用于压力评估、心血管健康监测及疲劳管理。应用场景：居家健康监测、企业员工健康管理、体检中心、智能镜子。用户每日对着摄像头静坐1分钟，系统自动计算HRV并记录趋势，当HRV显著下降时推送'压力过大'或'疲劳累积'提醒。技能特点：HRV是衡量自主神经系统健康的重要指标，与压力、疲劳、心血管风险相关。通过日常摄像头无接触测量，可降低使用门槛，让更多人持续关注自身恢复状态和压力水平，助力健康管理。该技能可作为增值功能集成到智慧办公、健康养老等场景。

by @18072937735 (smyx-skills)·MIT-0