abstract = "This research proposes a model to tackle challenges
common in Emotion Recognition based on facial
expression. First, we use pervasive sensor and
environment, enabling natural expressions of user, as
opposed to unnatural expressions on a large dataset.
Second, the model analyzes relevant temporal
information, unlike many other researches. Third, we
employ user-specific approach and adaptation to user.
We also show that our evolved model by genetic
programming can be analyzed on how it really works and
not a black-box model.",