gait-metrics
CommunityAnalyze gait with spatiotemporal metrics.
Authorpeabody124
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill analyzes gait data from kinematic reconstructions to compute spatiotemporal metrics, joint ROM per gait cycle, and higher-level indices like Gait Deviation Index (GDI).
Core Features & Use Cases
- Walking segment detection: Identifies valid walking segments from kinematic data using GaitTransformer and Kalman-filtered phase outputs.
- Metrics & ROM: Computes step length, step width, cadence, velocity, cadence, gait phase percentages, and joint ROM for both planar and monocular reconstructions.
- GDI & asymmetry: Provides GDI scores and left-right asymmetry metrics to quantify gait pathology.
- Data compatibility: Works with multi-camera (MMC) and monocular (PBL) data and links to DataJoint pipelines for integrated analysis.
Quick Start
Provide your kinematic reconstruction key and run gait-metrics to obtain per-step, per-cycle, and ROM analytics across trials.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: gait-metrics Download link: https://github.com/peabody124/reproducible_agent_environment/archive/main.zip#gait-metrics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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