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name: biomechanics-signal-plot description: Visualize biomechanics signal data including EMG, Forceplate (Fx/Fy/Fz), and CoP/CoM trajectories. Use when creating grid plots, onset timing markers, window highlights, TKEO pipeline visualizations, or trajectory scatter plots for biomechanics research. Triggers on EMG plot, forceplate visualization, CoP trajectory, CoM trajectory, TKEO onset, signal grid, biomechanics chart.

Biomechanics Signal Plot Skill

Professional guidelines for biomechanics signal data visualization

Overview

This Skill provides guidelines and code templates for visualizing signal data used in biomechanics research.

Supported Data Types:

• EMG Signals: TKEO pipeline, onset detection markers
• Forceplate Signals: Fx, Fy, Fz channel visualization
• CoP/CoM Trajectories: X-Y coordinate trajectory visualization, window color coding

When to Use

• Visualizing EMG signal analysis results
• Visualizing Forceplate data
• Visualizing CoP (Center of Pressure) or CoM (Center of Mass) trajectories
• Creating velocity-trial combination grid plots
• Displaying onset timing markers
• Highlighting analysis windows

File Structure

File	Purpose
SKILL.md	Main Skill overview and usage instructions
emg-plot-guide.md	EMG signal visualization guidelines
forceplate-guide.md	Forceplate signal visualization guidelines
trajectory-guide.md	CoP/CoM trajectory visualization guidelines
templates/grid_plot_template.py	Grid plot code template

Core Principles

1. Grid Plot Default Behavior

• All visualizations are generated as grid plots by default
• Number of columns = ceil(sqrt(number of plots))
• Empty subplots are hidden
• Each subplot includes individual title and legend

2. Velocity-Trial Sorting

Data is sorted by velocity-trial combination and arranged in grid:

10-1, 10-2, 10-3
15-1, 15-2, 15-3
20-1, 20-2, 20-3

3. Quality Settings

• DPI: 300 (publication quality)
• Korean font setup required

Guide File References

EMG Visualization

Refer to emg-plot-guide.md for EMG signal visualization:

• TKEO pipeline visualization
• Onset timing markers (vertical dashed lines)
• Window highlights (p1, p2, p3, p4)

Forceplate Visualization

Refer to forceplate-guide.md for Forceplate signal visualization:

• Fx, Fy, Fz channel visualization
• Onset timing markers
• Channel-specific color settings

Trajectory Visualization

Refer to trajectory-guide.md for CoP/CoM trajectory visualization:

• X vs Y scatter plot
• Y-axis flip (anterior-positive)
• Window-based color coding
• Maximum value markers (star markers)

Using Code Templates

Import basic grid plot generation functions from templates/grid_plot_template.py:

from templates.grid_plot_template import (
    calculate_grid_dimensions,
    setup_korean_font,
    create_grid_figure,
    save_figure
)

# Calculate grid dimensions
rows, cols = calculate_grid_dimensions(n_plots)

# Setup Korean font
setup_korean_font()

# Create figure
fig, axes = create_grid_figure(rows, cols, figsize=(16, 12))

# Save (DPI 300)
save_figure(fig, output_path)

Common Color Settings

Window Colors

Window	Color
p1	#1f77b4 (Blue)
p2	#ff7f0e (Orange)
p3	#2ca02c (Green)
p4	#d62728 (Red)

Marker Styles

Marker Type	Style
onset timing	Vertical dashed line (linestyle='--')
maximum value	Star marker (marker='*', markersize=10)