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gait-metrics

Compute spatiotemporal gait metrics and GDI from kinematic reconstructions.

3|Updated Dec 25, 2025
Search Tags:#biomechanics#kinematics#gait-analysis#walking-detection#datajoint#gait#GDI
One-click install
npx skills add https://github.com/peabody124/reproducible_agent_environment --skill gait-metrics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gait-metrics
Source: https://github.com/peabody124/reproducible_agent_environment/tree/main/skills/gait-metrics
Command: npx skills add https://github.com/peabody124/reproducible_agent_environment --skill gait-metrics

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about gait-metrics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compute spatiotemporal gait metrics from kinematic reconstructions?▼

You can compute spatiotemporal gait metrics from kinematic reconstructions by providing a reconstruction key to a gait-metrics pipeline, which extracts gait events to produce step length, cadence, velocity, and joint range of motion.

Can I calculate the Gait Deviation Index from both monocular and multi-camera data?▼

Yes, you can calculate the Gait Deviation Index from both monocular and multi-camera data, as the analysis supports both PBL and MMC kinematic reconstructions to quantify gait pathology.

How does walking segment detection work for continuous gait analysis?▼

Walking segment detection for continuous gait analysis works by identifying valid walking segments from kinematic data using GaitTransformer and Kalman-filtered phase outputs to isolate usable cycles.

Does gait analysis with DataJoint pipelines require standalone modules for asymmetry indices?▼

Gait analysis with DataJoint pipelines uses standalone gait-metrics modules alongside GaitTransformer to deliver left-right asymmetry indices and per-step metrics across integrated trials.

What kinematic outputs are included in per-cycle gait analysis?▼

Per-cycle gait analysis includes joint range of motion, gait phase percentages, step width, and asymmetry indices, delivering comprehensive kinematic outputs for each detected gait cycle.

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