Running biomechanics / Foot pressure

Every run leaves a pressure story under your feet

Pace tells you how fast you ran. Heart rate tells you how hard your engine worked. Foot pressure shows how your body met the ground—where each landing began, how load travelled through the foot, and what changed before push-off.

01

The short answer

A foot-pressure map is a movie, not a heat-map snapshot. Follow the landing, the path of the center of pressure (CoP), and the final push-off. STRIV captures that sequence under both feet, then shows whether the same story repeats—or starts to change as the run unfolds.

01

Landing

Where each foot first accepts load and how that pattern differs from left to right.

02

Load path

How the pressure-weighted center travels through the foot from contact toward toe-off.

03

Change

Whether pressure shifts with pace, shoes, terrain, or the later miles of a run.

01

A footprint is only the opening frame

Plantar pressure describes how load is distributed beneath the foot. Center of pressure (CoP) condenses that changing distribution into a moving point—the pressure-weighted center of the signal at each instant of stance.3

Together, the map and the path reveal the shape of a step: where contact begins, whether load stays toward one edge, how smoothly it moves forward, and where the foot finishes the push-off.

02

The signal underfoot carries information up the chain

The foot–ground interaction is the starting point for the forces that move through the ankle, knee, and hip. Research has used instrumented-insole pressure to estimate continuous running ground-reaction forces, including vertical and braking–propulsive components.4

More recently, researchers used instrumented-insoles and machine learning to estimate medial knee contact force plus knee adduction and flexion moments across walking, running, and everyday movements. The important idea is bigger than a colorful footprint: instrumented-insole signals can carry a rich signature of how load enters the body.5

STRIV brings its own pressure and motion signals into every run, so the runner can see the mechanics that pace and heart rate leave invisible.

03

What 128 pressure sensors per foot reveal

STRIV follows pressure beneath the heel, midfoot, and forefoot through landing, midstance, and push-off. Because the left and right feet are measured independently, a whole-body average cannot hide which side is doing what.

One step shows a footprint. Hundreds of steps show a pattern. Thousands begin to show when that pattern changes—after a pace increase, on a hill, in another shoe, or later in the session.

04

Your baseline turns data into a decision

Pressure patterns change with speed and footwear, which is exactly why context matters. STRIV puts the pressure story beside pace and run progression instead of reducing it to one universal good-or-bad map.1,2

The useful question becomes personal: at a comparable pace, did load stay balanced between feet? Did the CoP path remain consistent? Did one side begin to absorb or push differently? That is the difference between collecting data and learning from it.

  • Compare left and right through the same phase of the step.
  • See whether a shoe or form cue changes the load path—not only the pace.
  • Track when a stable pattern begins to drift during the run.
05

The story is movement, not one red square

A bright region can attract the eye, but the stronger insight comes from sequence, repetition, and change. Landing location, CoP progression, time under load, push-off, and left–right behavior belong in the same story.

That story gives runners and coaches a new layer of evidence: not only what the run produced, but how the body produced it—step after step.

Evidence base

References

  1. Wiegerinck JI et al.Differences in plantar loading between training shoes and racing flats at a self-selected running speedGait & Posture, 2009
  2. Fourchet F et al.Comparison of plantar pressure distribution in adolescent runners at low vs. high running velocityGait & Posture, 2012
  3. Orlin MN, McPoil TGPlantar pressure assessmentPhysical Therapy, 2000
  4. Honert EC et al.Estimating Running Ground Reaction Forces from Plantar Pressure during Graded RunningSensors, 2022
  5. Snyder SJ et al.Prediction of knee loads during activities of daily living using custom instrumented insoles and machine learningJournal of Biomechanics, 2025