
Autism Stereotyped Behavior Detection (Spinning / Hand-Flapping) | 自闭症儿童刻板行为识别(转圈/摆手)
@user_bb47e3e3/autism-stereotyped-behavior-detect-analysis
Using a fixed camera in rehabilitation centers or homes, the system analyzes children's behavior videos with pose estimation and temporal action detection to recognize repetitive stereotyped behaviors, including spinning (body rotation ≥ 360°), hand flapping (non-functional repetitive arm movement), body rocking (rhythmic forward-backward or side-to-side trunk motion), etc. | 通过康复机构或家庭固定摄像头,分析儿童行为视频,利用姿态估计和时序动作检测技术识别重复性刻板动作,包括转圈(身体旋转360°以上)、摆手(手臂非功能性重复摆动)、摇晃(躯干前后或左右有节律摆动)等。该技能可辅助康复师和家长客观记录行为变化,评估干预效果。
v1.0.0
将提示词发送给你的 AI 安装该 skills
请根据 https://skillhub.cn/install/skillhub.md,安装 @user_bb47e3e3/autism-stereotyped-behavior-detect-analysis。
将提示词发送给你的 AI 安装该 skills
请根据 https://skillhub.cn/install/skillhub.md,安装 @user_bb47e3e3/autism-stereotyped-behavior-detect-analysis。
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