Emotions have been studied for a long time and results show that they
play an important role in human cognitive functions. In fact, emotions
play an extremely important role during the communication between
people. And the human face is the most communicative part of the body
for expressing emotions; it is recognized that a link exists between
facial activity and emotional states. In order to make computer
applications more believable and friendly, giving them the ability to
recognize and/or express emotions are research fields which have been
much focused on. Being able to perform these tasks, firstly, we need to
have knowledge about the relationship between emotion and facial
activity. Up to now, there have been proposed researches on this
relationship. However, almost all these researches focused on analyzing
the relationship without taking into account time factors. They analyzed
the relationship but did not examined it in the time domain. In this
paper, we propose a work on analyzing the relationship between emotions
and facial activity in the time domain. Our goal is finding the temporal
patterns of facial activity of six basic emotions (happy, sad, angry,
fear, surprise, disgust). To perform this task, we analyzed a
spontaneous video database in order to consider how facial activities
which are related to the six basic emotions happen temporally. From
there, we bring out the general temporal patterns for facial expressions
of each of the six emotions.
Advances in Intelligent Systems and Computing, Volume 326, 2015, Pages
487-498
6th International Conference on Knowledge and Systems Engineering, KSE
2014; Hanoi; Viet Nam; 9 October 2014 through 11 October 2014; Code
110309
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