checktrainingset.asv

eye detection sample in matlab. Eyetrackers can analyze a driver’s level of attentiveness while driv

% abrponm done
function varargout = test1(varargin)
% MOUTHTRAIN Application M-file for mouthtrain.fig
%    FIG = MOUTHTRAIN launch mouthtrain GUI.
%    MOUTHTRAIN('callback_name', ...) invoke the named callback.

% Last Modified by GUIDE v2.5 19-Nov-2003 21:32:09
global pos;
if nargin == 0  % LAUNCH GUI

	fig = openfig(mfilename,'reuse');

	% Use system color scheme for figure:
	set(fig,'Color',get(0,'defaultUicontrolBackgroundColor'));

	% Generate a structure of handles to pass to callbacks, and store it. 
	handles = guihandles(fig);
	guidata(fig, handles);

	if nargout > 0
		varargout{1} = fig;
	end

elseif ischar(varargin{1}) % INVOKE NAMED SUBFUNCTION OR CALLBACK

	try
		if (nargout)
			[varargout{1:nargout}] = feval(varargin{:}); % FEVAL switchyard
		else
			feval(varargin{:}); % FEVAL switchyard
		end
	catch
		disp(lasterr);
	end

end



% --------------------------------------------------------------------
function varargout = start_Callback(h, eventdata, handles, varargin)
global picNumber;
global lab;
global sam;
load trainingset50
lab=labels(:,find(labels==0));
sam=samples(:,find(labels==0));
picNumber=0;


function pushbutton64_Callback(hObject, eventdata, handles)
global lab;
global sam;

global picNumber
     picNumber=picNumber+1;
     nose         = reshape(sam(1:234,picNumber),18,13);   
     axes(handles.xnose);
    imshow(nose);
     mouth       = reshape(sam(235:585,picNumber),13,27);  
     axes(handles.xmouth);
    imshow(mouth);
    lefteye   = reshape(sam(586:810,picNumber),15,15);   
    axes(handles.xlefteye);
    imshow(lefteye);
    righteye = reshape(sam(811:1035,picNumber),15,15);   
    axes(handles.xrighteye);
    imshow(righteye);
    nb               = reshape(sam(1036:1259,picNumber),14,16);   
    axes(handles.xnb);
    imshow(nb);