چكيده به لاتين
Understanding emotions is an interdisciplinary field of study that includes several fields, including computer science, cognitive science, and psychology. The study of emotional states is useful for interpreting human actions and introducing human factors in artificial systems. Therefore, we can improve the relationship between man and machine. Additionally, the emotion detection area is useful for producing knowledge in order to adapt to real-time devices and generate responses appropriate to the emotional needs of observers.
When it comes to emotion, it should not be said that human being is an entity that only experiences feelings, but they are reviewed, regulated, understood and sometimes fought by them. The results of the surveys show that emotions at any moment Attention, decision-making, memory, physiological responses and social interactions. The emotional adjustment is related to the mental, social and physiological health of humans.
Emotions appear in different forms depending on age, gender, education, and so on. There are also different perceptions of viewing different images. 79 pictures for men and 79 images for ladies have been shown during two stages of the experiment. In this project, images have been selected in three main dimensions: emotional appetite, arousal and domination (dominant). These images are evaluated in several emotional categories (excitement, happiness, love and calm against anger, discontent, neglect, and fatigue). To do this, 79 images are displayed in two stages to 21 men and 16 women with a mean age (women 27.43 and men 42.47), and while recording eye movement images, the eyes of the subjects are recorded using the eye tracking system. To be Then 17 attributes are extracted from the output of the eye tracker.
The results of the three dimensions show that the characteristics of the mean stabilization time, the average size of the saccades, the total number of stabilizations, the mean size of the saccades, the largest pupil size in the stabilization, the total number of Saccades, and the standard deviation of the Saccade range are important, and in Linear svm categorization as a mean for efficiency (accuracy) of 65% for the number of 79 subjects. So the results indicate that emotion affects the movement of the eyes of the individual, and this can be used as an indicator of emotional evaluation.
