C-step-counter

This port of the algorithm was developed within the thesis Open-source algorithm for wearables in healthcare-applications made by Anna Brondin & Marcus Nordstrom at Malmö University.

Guide

You may need to optimise constants used in the algoritm which may depend on the actual accelerometer used.

• The constant timeScalingFactor in preProcessingStage.c is used to scale the timestamps if they are not in ms.
• You can activate interpolation in preProcessingStage.c if you think that sampling frequency has jitter.
• The coefficients of filterStage.c (int32_t coeffs) depend on the sampling frequency (here supposed to be 100Hz). These coefficients are used in a FIR filter to remove unwanted frequencies (we used a low pass filter with a cut-off frequency of 3Hz). You can use this online tool to compute different coefficients.
• There are 3 constants that can be optimised in the algorithm. This is the suggested procedure:
  1. Walk 150 steps (count them manually) while collecting raw accelerometry data into a CSV file formated as time(ms), X, Y, Z
  2. These raw data should be collected multiple times and in different conditions (e.g. different walking speeds, styles, different terrains etc.)
  3. Find the best constants with C-optimize-variables
  4. Modify the constants in this algorithm, for that, use the functions: changeWindowSize(), changeDetectionThreshold() and changeTimeThreshold().
• Build the library with cmake or add the library into your project