pressR parses, analyzes, and visualizes pressure distribution data from capacitive sensor systems. It ships with predefined layouts for in-shoe pressure measurement, saddle pressure mapping (equine and bicycle), seating assessment, and barefoot pedography, along with an interactive Shiny application for data exploration.
# install.packages("pak")
pak::pak("r-heller/pressR")library(pressR)
trial <- pr_example_trial("insole")
pr_plot_heatmap(trial)
pr_plot_force_time(trial, show_cycles = TRUE)
pr_summary(trial)
pr_calc_regional(trial)- Parsers for ASCII pressure data exports, generic CSV, force
sensor data, and region mask files (
.msa/.msr/.msp). - Predefined layouts for in-shoe insoles (99-sensor), barefoot pressure platforms, generic sensor mats (16x16 / 32x32), horse and bicycle saddles, wheelchair / car / office seating, and glove sensors.
- Per-frame and per-trial analysis: peak pressure, mean pressure, force, contact area, pressure-time integral, center of pressure, symmetry index, gait cycle detection, and COP rollover pattern.
- Application-specific analysis: saddle bridge and slip detection, wheelchair hotspot identification, plantar-pressure regional analysis.
- Published reference thresholds for saddle fit (von Peinen 2010, Moenkemoeller 2005, Werner 2002), diabetic foot risk, and wheelchair seating.
- Visualization: 2D and 3D heatmaps, dynamics plots, regional bar charts, composite report panels, and side-by-side trial comparison.
- Shiny app (
pr_run_app()) for interactive import, analysis, and export.
vignette("getting-started", package = "pressR")vignette("saddle-pressure-analysis", package = "pressR")vignette("foot-pressure-analysis", package = "pressR")
MIT