Bike IQ Research
Whitepapers
Technical documents describing how Bike IQ produces the core riding metrics from an iPhone alone. Each paper covers the problem, the approach, a validation summary, and the limits we are open about.
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Bike IQ Whitepaper · v1.0 · April 2026Cadence Without a Sensor
Estimating pedaling rhythm from the iPhone motion sensors, with 3.45 RPM mean error across a diverse validation set.
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Bike IQ Whitepaper · v1.0 · April 2026Knowing What Gear You Are In
Detecting the rider’s current gear in real time on any mechanical drivetrain, without a gear sensor.
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Bike IQ Whitepaper · v1.0 · April 2026Power Without a Power Meter
A physics-based estimate of cycling power validated against premium Quarq and Favero meters across multiple bikes.
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Bike IQ Whitepaper · v1.0 · April 2026Knowing How Steep the Road Is
A sensor-fusion pipeline that turns the iPhone barometer into a usable real-time road grade signal.