Jump to
Menu
Sign up Sign in

Mathematics of Running Style

Statistics & Probability

Stride length and cadence change as runners speed up. This explores how, using video analysis and measurements you collect yourself, fitted with a model linking speed to stride length and cadence.

Where this idea comes from

Start here β€” this is the source that inspired this exploration.

Introduction

A short video filmed at a known frame rate lets you measure stride length, cadence (steps per minute) and knee angle directly. This exploration collects that data at several running speeds for yourself, fits a model linking speed to stride length and cadence, and compares the result with published data for elite runners. A straight-line fit (AI SL) is a reasonable first model; if the relationship curves, a non-linear regression (AI HL) may fit the data better.

Guiding Questions
  • What can you measure about a running stride from a video β€” stride length, cadence, knee angle?
  • Collect data for yourself at different speeds. How do stride length and cadence change as you speed up?
  • Fit a model linking speed to stride length and cadence. Which matters more for you?
  • Compare your numbers with published data for elite runners. What explains the differences?
Start Your Exploration
Log in to favorite ideas and create drafts
Log In to Get Started
Key Mathematical Concepts
Optimization Data Analysis Biomechanics Sports
Share this idea