smyx-autism-stereotyped-behavior-detect-analysisUsing 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。
Install via ClawdBot CLI:
clawdbot install 18072937735/smyx-autism-stereotyped-behavior-detect-analysisGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://your-api-server.com/api/v1/common-analysis`Accesses system directories or attempts privilege escalation
/sys/Calls external URL not in known-safe list
https://example.com/report?id=xxxAudited May 27, 2026 · audit v1.0
Generated Aug 14, 2026
A rehabilitation center installs fixed cameras in therapy rooms to automatically detect and log stereotyped behaviors (spinning, hand-flapping) during sessions. The system generates daily and weekly reports, reducing therapist documentation workload and providing objective data for treatment planning.
Special education schools use the skill to monitor students with autism during classroom activities. The system identifies repetitive behaviors and provides educators with trend reports to adjust individualized education plans (IEPs) and share insights with parents.
Parents of children with autism set up a home camera to monitor behavior in natural settings. The AI generates periodic summaries of stereotyped behavior frequency and duration, enabling remote therapists to evaluate intervention effectiveness and guide parents remotely.
Researchers studying autism use the skill to collect quantitative data on stereotyped behaviors across multiple participants. The system provides consistent metrics (frequency, duration, dominant behavior) to support studies on intervention outcomes or behavioral phenotypes.
Offer the skill as a cloud-based subscription service to rehabilitation institutions, special education schools, and clinics. Institutions pay a monthly fee per camera or per child, with tiered pricing based on number of monitored children and analytics depth. Revenue also comes from training and onboarding services.
Provide basic behavior detection and simple daily reports for free to attract individual users (parents). Charge for advanced features: historical trend analysis, baseline comparisons, multi-child management, priority support, and integration with rehabilitation apps. Monetize through premium plans or one-time unlocks.
License the underlying detection API to existing rehabilitation center management software or home rehabilitation apps. Charge per API call or a fixed licensing fee. Integration allows these platforms to embed behavioral analytics directly, enhancing their value proposition.
💬 Integration Tip
Integrate with existing rehabilitation center management systems via REST API to enable automatic report generation. Ensure secure and private video processing to comply with health data regulations.
Scored Aug 16, 2026
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