fpQAS :   Facial Palsy Quantitative Assessment System v.1.0

  Facial Paralysis Quantitative Assessment System (fpQAS) is an application that uses a novel method for quantitative assessment of facial paralysis. It combines human iris and facial landmarks to prognosticate facial paralysis type and grading. Aside from the facial landmarks, human iris exposure was found to reveal a significant difference between the normal side and the severe palsy side as it models some typical changes when performing facial expressions. This facial movement feature extraction along with our hybrid classifier provides a more efficient way of tackling classification problem on facial palsy type and degree of severity. Users capture facial images of the patients with a front-view face and with reasonable illumination of lights so that each side of the face achieves roughly similar amount of lighting. The photo taking procedure starts with the patient performing 'at rest' facial position, followed by the four voluntary movements (please see User Guide). Captured images are sent to the system to automatically prognosticate facial paralysis. fpQAS has been implemented in MATLAB.



1. Program availability and requirements

  • Operating systems : Windows
  • MATLAB Compiler Runtime (MCR) : R2013a or later is needed to run the application


2. Installation

  • Install MCR (skip this step if you have MCR_R2013a or later / MATLAB R2013a or later). MCR installer can also be retrieved from a computer that has MATLAB and MATLAB Compiler installed. See the locations below where MCR can be found according to the operating system of the computer:

    1. Windows: $MATLAB\toolbox\compiler\deploy\win32|64\MCRInstaller.exe
    2. (where $MATLAB is the location of your MATLAB installation directory or installation media)

  • Download fpQAS(v.1.0) executable file:
  •  fpQAS 
    Note: It may take quite sometime to load the form.


3. Documentation

User Guide : fpQAS v1.0 User Guide



4. Contact - for bugs, comments and questions

Jocelyn Barbosa: joybarbosa@korea.ac.kr
Jaewoo Kang: kangj@korea.ac.kr



Last updated on May 6 2015