function [ fixations ] = labelFixationsViaIDT( EyeMove, mode, durationThreshold, dispersionThreshold )
%%% labels data by applying an IDT fixation algorithms
%%% on the given EyeMove data
%%% 
%%% EyeMove: eye movements of the participant [time|Lx|Ly|Rx|Ry|Hx|Hy]
%%% mode: L,R
%%% durationThreshold: minimum fixation duration (in millisecond)
%%% dispersionThreshold: maximum disperion within a fixation (pixel based)
%%%
%%% Output:
%%% fixation Nx4 [posX | posY | startTimestamp | duration]
%%% Created by: Jakob Karolus
%%% Last updated: 2016-06-29


switch upper(mode)
    case 'L'
        eyeData = EyeMove(:,1:3);
    case 'R'
        eyeData = [EyeMove(:,1) EyeMove(:, 4:5)];
end

%Implement your version of IDT here
candidate = 1;
fixations = [];

% Iterate over data
while(candidate<size(eyeData,1));
    
    %create window
    
    %check dispersion of window
    
    %if dispersionthreshold is not exceeded
        
        %add to the window while dispersionthreshold is not exceeded
    
        %set fixations
        
        fixations = [fixations; posX posY startTime duration];
        
        %set candidate forward
        
        %continue
    
    %else 
        candidate = candidate + 1;
end

end