Child Separation Anxiety Detection (Pre-School Crying) | 儿童分离焦虑识别（上学前哭闹）

Using a fixed camera at the home entrance or kindergarten gate, the system analyzes pre-school videos and detects crying facial expressions (frowning, open-mouth crying, tearing), physical clinging actions (grabbing parent's clothes, hugging parent's leg, pulling door frame), and resistance behaviors (stepping back, lying on the ground), then comprehensively evaluates the separation-anxiety level (mild / moderate / severe). The skill helps parents and teachers understand the child's emotional state and timely provide comfort or psychological guidance. Application scenarios: home drop-off, kindergarten morning reception. Daily monitoring; when the separation-anxiety level reaches moderate or above, the system pushes reminders to parents or teachers, recommending soothing measures or adjusting the separation routine. Skill features: separation anxiety is a common kindergarten / school adaptation issue, and severe cases may affect mental health and social development. AI automatic recognition helps parents and teachers pay early attention and take intervention measures to reduce children's anxiety. Can be integrated into smart cameras or kindergarten management systems. | 通过家庭或幼儿园门口固定摄像头，分析儿童上学前的视频，检测哭闹面部表情（皱眉、张嘴哭泣、流泪）、肢体抓拽动作（抓住家长衣服、抱住家长腿、拉扯门框）以及抗拒行为（后退、躺地）等，综合评估分离焦虑等级（轻度/中度/重度）。该技能可辅助家长和教师了解儿童情绪状态，及时进行安抚或心理疏导。应用场景：家庭送学场景、幼儿园晨间接待。系统每日监测，当分离焦虑等级为中度以上时，推送提醒给家长或老师，建议采取安抚措施或调整分离方式。技能特点：儿童分离焦虑是常见的入园/入学适应问题，严重的可能影响心理健康和社交发展。通过AI自动识别，可帮助家长和老师早期关注并采取干预措施，减轻儿童焦虑。该技能可集成到智能摄像头或幼儿园管理系统中。

by @18072937735 (smyx-skills)·MIT-0