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.
Professional guidelines for biomechanics signal data visualization
This Skill provides guidelines and code templates for visualizing signal data used in biomechanics research.
Supported Data Types:
| 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 |
ceil(sqrt(number of plots))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
Refer to emg-plot-guide.md for EMG signal visualization:
Refer to forceplate-guide.md for Forceplate signal visualization:
Refer to trajectory-guide.md for CoP/CoM trajectory visualization:
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)
| Window | Color |
|---|---|
| p1 | #1f77b4 (Blue) |
| p2 | #ff7f0e (Orange) |
| p3 | #2ca02c (Green) |
| p4 | #d62728 (Red) |
| Marker Type | Style |
|---|---|
| onset timing | Vertical dashed line (linestyle='--') |
| maximum value | Star marker (marker='*', markersize=10) |