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