Employee Emotion Fluctuation HR Report | 员工入职/离职情绪波动预警（HR方向）

Using fixed cameras in enterprise office areas (with employee consent and anonymization), the system performs long-term monitoring of employees' facial expressions and posture features, building per-person historical baselines (smile frequency, sigh count, frown level, etc.). When an employee's smile frequency drops significantly relative to baseline (e.g., -40%), sighs increase significantly (e.g., +50%), or other abnormal behaviors emerge (social withdrawal, long solo sitting), the system outputs an emotion-fluctuation alert and reminds HR or managers to initiate a supportive check-in. The skill aims to help organizations detect employee mental-health issues early, reduce turnover risk, and improve well-being. Application scenarios: enterprise open-plan offices, department private offices. The system generates weekly or monthly employee emotion-trend reports for HR internal reference ONLY. Skill features: low employee morale often precedes resignation; AI-based early identification allows HR to provide timely care and reduce attrition. Suitable for mid-to-large enterprises, especially high-pressure roles such as R&D and customer service. Privacy must be protected; access should be limited to HR senior management only. | 通过企业办公区固定摄像头（需征得员工同意并匿名化处理），长期监测员工的面部表情和姿态特征，建立个人历史基线（如笑容频率、叹气次数、皱眉程度等）。当检测到某员工近期的笑容频率显著下降（例如比基线降低40%）、叹气次数增加（例如比基线增加50%）或与其他异常行为（社交回避、长时间独自静坐）时，输出情绪波动预警，提醒HR或管理者进行关怀沟通。该技能旨在帮助组织及时发现员工心理健康问题，降低离职风险，提升员工幸福感。应用场景：企业开放式办公区、部门独立办公室。系统每周或每月生成员工情绪趋势报告，仅供HR内部参考。技能特点：员工情绪低落往往是离职的前兆，通过AI早期识别异常，HR可及时介入关怀，降低流失率。该技能适用于中大型企业，尤其适合研发、客服等高压力岗位。需注意隐私保护，建议仅HR管理层可见。

by @smyx-sunjinhui·MIT-0