Face expression recognition technology is one of the most recently developed fields in
machine learning and has profoundly helped its users through forensic, security, and …

Nowadays, researchers aim to enhance man-to-machine interactions by making
advancements in several domains. Facial emotion recognition (FER) is one such domain in …

Facial exprestion recognition as a recently developed method in computer vision is founded
upon the idea of analazing the facial changes in which are witnessed due to emotional …

Dimensional emotion recognition research is an important branch of affective computing,
which uses continuous values to represent complex human emotions. In this study, we …

Feature selection metho represents one of the main keys that has direct influence on
classification accuracy. During the last two decades, researchers have given a lot of …

It is well known that some facial attributes–like soft biometric traits–can increase the
performance of traditional biometric systems and help recognition based on human …

Facial expression recognition (FER) has achieved an extreme role in research area since
the 1990s. This paper provides a comparison approach for FER based on three feature …

Face expression recognition is a typical task to make human and machine interaction
possible. Besides this, medical science and other applications demand for such system. This …

Ambient Assisted Living and Ambient Intelligence have seen their impact greatly grows,
especially these last decades. It is mainly due to the increase of the ageing population and …

Pattern recognition is a crucial part of machine learning that has recently piqued scientists'
interest. The feature selection method utilized has an impact on the dataset's correctness …