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What is time normalisation?

When you record repeated movements (gait cycles, jumps, strokes), each repetition takes a slightly different amount of time. Time normalisation resamples every cycle to the same 0–100% scale so they can be directly compared, averaged, and plotted together.

Load Data

Excel (.xlsx) or CSV - processed locally.

📊 Sample gait data

Single cycle 101 samples · knee angle · one complete cycle

Multi-cycle 550 samples · 5 cycles · use cycle detection

Data file iYour file is read entirely in the browser. Nothing is uploaded to any server. Supports .xlsx, .xls, and .csv formats.

Select Signal

Pick the column to analyse.

Sheet iIf your Excel file has multiple sheets, pick the one containing the data you want to normalise.

Data column iSelect the column containing your signal - e.g. vertical GRF, knee angle, EMG amplitude. Must be numeric.

Y-axis label iUsed on the chart axis and in CSV headers. Include units - e.g. "Force (N)", "Angle (°)", "EMG (mV)".

Peak-normalise each cycle to 100% iDivides each cycle by its peak value and multiplies by 100. Useful for comparing shape across participants with different absolute magnitudes - e.g. normalising GRF to body weight.

Normalise each cycle

For recordings with multiple repetitions (e.g. gait strides)

Detect cycles automatically iEnable this when your file contains a continuous recording with multiple active cycles (e.g. several gait strides from a force plate). It will find each cycle above a threshold, normalise them individually, and compute the mean ± SD. Leave off if your data is already trimmed to a single cycle.

Reference Data

Optionally compare your signal to a reference band.

No reference

Show normalised curves only

Built-in normative gait Winter (2009)

Walking hip, knee, or ankle kinematics — gait data only

Upload your own reference

CSV with columns: percent, mean, sd · 101 rows (0–100%)

Run + Export

Process, overlay, and download.

Cycles

Y axis

Peak-norm

Threshold

Status

Load a file to begin.

Raw Data Preview

Normalised Curves

X = 0–100% · Y = raw units (unless peak-normalised)

Batch Normalised Curves

Individual traces (light) · Mean (bold) · ±SD band · 95% CI dashed

Time Normalise

What is time normalisation?

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