parkinson-epilepsy-behavior-recognition-analysis
CommunityDetect Parkinson & epilepsy abnormal behaviors from video
Data & Analytics#risk monitoring#epilepsy#history reports#video recognition#parkinson#abnormal behavior#medical analytics
Authorsmyx-sunjinhui
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps identify abnormal behaviors associated with Parkinson’s disease and epilepsy from uploaded monitoring videos, enabling non-contact home risk monitoring and structured activity analysis to support clinical observation.
Core Features & Use Cases
- Abnormal behavior recognition: Detects limb tremors, convulsions, stiffness, and gait abnormalities by analyzing video frames.
- Risk/episode reporting: Produces structured results including abnormal behavior types, frequency statistics, duration statistics, and an overall risk assessment with suggested actions.
- History report retrieval: When history-query keywords are used, it fetches the user’s historical analysis report list from the cloud API and renders it as a Markdown table with clickable report links.
Quick Start
Upload a patient monitoring video and ask for “parkinson epilepsy behavior recognition analysis” with your username or phone as the open-id to get a structured abnormal-behavior report.
Dependency Matrix
Required Modules
requestsyamlpydashSQLAlchemy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: parkinson-epilepsy-behavior-recognition-analysis Download link: https://github.com/smyx-sunjinhui/smyx-open-claw-skills/archive/main.zip#parkinson-epilepsy-behavior-recognition-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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