https://github.com/schw4b/ehca

Eye-head coordination analyzer for the MATLAB programming language.
https://github.com/schw4b/ehca

Last synced: 12 days ago
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Eye-head coordination analyzer for the MATLAB programming language.

• Host: GitHub
• URL: https://github.com/schw4b/ehca
• Owner: schw4b
• License: gpl-3.0
• Created: 2015-04-07T09:38:36.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-04-08T12:43:05.000Z (over 9 years ago)
• Last Synced: 2023-03-01T05:12:02.225Z (almost 2 years ago)
• Language: Matlab
• Homepage:
• Size: 402 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: COPYING

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README

        
# EHCA - Eye and head coordination analyzer

EHCA is a MATLAB tool to analyze eye and head coordination. Parameters that

are detected are such as eye delay, head offset, eye/head amplitudes and

durations.

![Alt text](/screenshot.png)

The tool and a use case was published in a peer-reviewed scientific journal,

please cite my work if you use my software:

Schwab, S., Würmle, O., & Altorfer, A. (2012). Analysis of eye and head

coordination in a visual peripheral recognition task. Journal of Eye

Movement Research 5(2):3, 1-9.

To access the tool from within MATLAB, you have to add the ehca folder to the

MATLAB path (File... Set Path...). The tool is started by typing 'ehca' in the

MATLAB command window.

    >> ehca

From the GUI, a *.mat file can be loaded, which contains your data. Example

data is contained in ehca_demo.mat. The data file requires the following

specification:

There has to be a struct variable named 'segments', which contains the cells

'time', 'head', 'eye' and 'gaze', which contain the data for each trial. Here,

the data contains 11 trials (data segments).

    time: {1x11 cell}

    head: {1x11 cell}

     eye: {1x11 cell}

    gaze: {1x11 cell}

To see such a data structure, load the ehca_demo.mat from the command window:

    >> load ehca_demo.mat

Parameter detection can be conducted for each of the 11 trials, and the

trials can be visually inspected for proper parameter detection. Therefore,

press 'Parameter Detection' and browse through the trials by pressing the

next button (>).

To access the data, type 

    >> global ehdata

The ehdata is a global variable that contains the parameters detected

(ehdata.param). However, with some of the trials, parameter detection may fail.

Therefore, parameters can be accessed to replace wrong parameters with NaN

values before subject statistics are performed.

It is recommended to save the cleaned up values in a different variable, since

a new parameter detection will just overwrite ehdata.param.

    >> myparam = ehdata.param

At the end, don't forget to save your analyzed data ;)

    >> save subjectA.mat

Project home page: https://github.com/schw4b/ehca

Simon Schwab - May 2012