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Time Series Data Synchronization

Open Movement Long-term Time Series Data Synchronization

For general information on time and synchronization in AX devices, see the FAQ.

For time series accelerometer measurements from multiple devices, each device's local oscillator will have slightly different frequencies and stability causing gradual drift. This makes synchronizing measurements over a long term (e.g. multi-day) difficult. If sensors are placed at multiple sites on the same body, each sensor might be expected to see some of the same overall body movements at a similar time. This software attempts to resynchronize a ('dependent') timeseries data file against another reference ('master') file.

Usage

The code can be compiled for Linux, Windows (native and Bash on Ubuntu on Windows), and Mac (untested).

Steps for building from the repository in your terminal -- for Windows native builds, replace make with the build script, or consider a release binary:

git clone https://openlab.ncl.ac.uk/gitlab/dan.jackson/timesync
cd timesync/src/timesync
make

timesync requires .WAV files -- if you need to convert .CWA to .WAV files, first use omconvert (remove ./ if under Windows):

./omconvert master.cwa -out master.wav
./omconvert dependent.cwa -out dependent.wav

To use timesync itself (remove ./ if under Windows):

./timesync master.wav dependent.wav -out dependent.out.wav

Where:

  • master.wav is the omconvert-ed .wav file of the master signal (the dependent will be synchronized to).
  • dependent.wav is the omconvert-ed .wav file of the dependent signal (to be synchronized against the master).
  • dependent.out.wav is the dependent .wav file resynchronized to match the master .wav file.

Processing steps

For synchronization, choose a 'master' file (used as the reference) and a 'dependent' file (to be resampled to match).

  • For triaxial data, calculate the Euclidean distance "scalar vector magnitude": sqrt(x^2 + y^2 + z^2) -- for audio, the mean of all channels.

  • At 60 second intervals, slide a matching window (of 60 seconds) by the current search range

    • ...calculate the cross-correlation: storing the highest cross correlation coefficient and that lag amount (in samples)
  • At analysis intervals (of 24 hours) find the best match local linearity (using the RANSAC regression; or the alternative method of eliminating outliers based on a median filter)

  • Resample the dependent file to the line of best fit (interpolate between analysis intervals, extrapolate to fill any missing time points before)

Return status codes

Return status codes:

Name Value Description
EXIT_OK 0 Successful (all rates were valid)
EXIT_OK+1 1 Partially successful (some, but not all, rates were valid)
EXIT_OK+2 2 Not synchronized (no rates were valid)
EXIT_USAGE 64 Command line usage error
EXIT_DATAERR 65 Data format error (e.g. input file cannot be parsed)
EXIT_NOINPUT 66 Cannot open input
EXIT_SOFTWARE 70 Internal software error
EXIT_OSERR 71 System error
EXIT_CANTCREAT 73 Can't create output file
EXIT_IOERR 74 Input/output error (e.g. an individual read/write failed)
EXIT_CONFIG 78 Configuration error

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