JoyAnalyze
SENSOR ACCURACY
Compare power meters, smart trainers, heart rate monitors, and radar tail lights with protocol-level precision.
THE PROBLEM
When you ride with a power meter, a smart trainer, and a cadence sensor, all three record data at slightly different sampling rates and slightly different times. Comparing them directly produces noise that hides the real signal.
JoyAnalyze solves this with time-axis dynamic stretching: manually mark shared events, or let the algorithm find power peaks automatically. We use DTW (Dynamic Time Warping) to align the signals, then compute statistical error metrics.
Analysis Modules
Power Accuracy
1s, 5s, 1min, 20min MMP error analysis across power meters, trainers, and pedals.
Radar Detection
Compare radar tail light detection rates and false-positive frequency in real traffic.
Time-Alignment
Manual marker or auto DTW-based time-axis alignment for cross-device comparison.
AVAILABLE ON ALL PLATFORMS
iOS, Android, and Web. Sign in once, sync across devices.
Start analyzing