README
Our data is composed of the files: shoes_faces.zip and scenes.zip.

Each data set is composed by NAME_DATASET/USER_ID_I/IMAGE_J.mat

In order to read properly IMAGE_J.mat, we provide the class eye_data.m with an example below.

eye_data class is composed of :
 * gx: x coordinates provided by gaze tracker device
 * gy: y coordinates provided by gaze tracker device
 * valid: valid coordinates provided by gaze tracker device

 * image: full screen image
 * im_name: image name from original data set
 * id_user: user identifier (for future versions)
 * att: question based on attribute
 * answer: user answer to question "att": 0 for No and 1 for Yes. (Initialized with -1)
 * fix_map: fixation map updated after call create_heatmap

 * NUM_FIX_PER_SEC: number of fixations per second (Default = 60).
 * VAL_SIGMA: sigma value used to create heatmap (Default = 1).

EXAMPLE
load('./shoes_faces_data/2/image_data2.mat')
data.create_heatmap('test.png')