Step detection

From University of Washington - Ubicomp Research Page
Revision as of 00:04, 2 May 2008 by Ryan Libby (talk | contribs) (CVS tags)

Jump to: navigation, search

Running

To run the executable these are the two arguments used so far:

Suggested to give full path for both

-xml (the xml file with the instantiation of the Mills)

-uwarin (the uwar file to used for computation)

<bash>./inference -xml path/xml_file.xml -uwarin path/log_file***.uwar </bash>

Algorithm

Mills

There are many mills under the source directory The algorithm is using the following Mills in the order given:


MeanStdDevMill(outputs a smoothed magnitude)

LtiFilterMill (outputs derivative of the smoothed magnitude)

ZeroCrossingMill (outputs the zero-crossings of the smoothed magnitude using the derivative of it)

AccelIntervalsMill (outputs areas between zero-crossings)

WinThresholdMill (makes absolute thresholding and relative thresholding, given a window length )

WinMax (outputs the minimun and maximum for every window)

Source

CVS checkout / export

To check out the latest code: <bash>cvs -d user@bicycle.cs.washington.edu:/projects/ubicomp/uwar/CVS checkout msp_peak_detection</bash>

CVS tags

We're trying to keep our branch of msp reasonably in-sync with Intel Research Seattle's. That means we periodically merge in updates from the sourceforge repository maintained by Intel.

  • msp_peak_detection
  • msp_2008_02_05
  • pre-merge-1
  • merge-1
  • merge-2
  • pre-merge-3
  • merge-3

Building

msp_peak_detection is built the same way as other msp branches. <bash>cd msp_peak_detection/src ./configure # unless you're cross-compiling make cd inference make</bash> If you are cross-compiling, you'll first need to set the environment variable CROSS_COMPILE to the path to your cross-compiler and cross-binutils.

Old Matlab code