The development of the explicit recognition of facial expressions of emotions can be affected by childhood maltreatment experiences. A previous study demonstrated the existence of an explicit recognition bias for angry facial expressions among a population of adolescent Sierra Leonean street-boys exposed to high levels of maltreatment. In the present study, the recognition bias for angry facial...

Holistic Principal Component Analysis (PCA) and holistic Independent Component Analysis (ICA) methods require long training times and large storage spaces for the recognition of facial images. These drawbacks can be avoided by using partitioning-based methods, namely partitioned PCA (pPCA) and partitioned ICA (pICA), which yield similar performance for pPCA and improved performance for pICA met...

expression recognition (happy, sad, disgust, surprise, angry, fear expressions) is application of advanced object detection, pattern recognition and classification task. Facial expression recognition techniques detecting emotion of people’ using their facial expressions. This has found applications in technical fields such as Human-computer-Interaction (HCI) and security monitoring. It generall...

Human face detection plays an important role in application such as video surveillance, human computer interface, face recognition and face image database management. Automatic detection of facial features of image is an important stage of various image interpretation works, such as facial expression recognition, face recognition, facial features tracking and 3D face modeling etc. Detection of ...

This project was inspired by work being done in the mHealth Security & Privacy lab to address authentication with a mobile medical device. Some of the members of the lab were working with students from another school to construct a low-cost, mobile device known as a Spirometer with a camera installed on it. The intention would then be to take a picture at the time of use and verify that that pe...

In the leading model of face perception, facial identity and facial expressions of emotion are recognized by separate mechanisms. In this report, we provide evidence supporting the independence of these processes by documenting an individual with severely impaired recognition of facial identity yet normal recognition of facial expressions of emotion. NM, a 40-year-old prosopagnosic, showed seve...

As peoples use body language or non-verbal language such as gesture and facial expression in communication; computers will also be able to communicate humans .In the digital era, there are various computational models are already exist for recognition of different facial expressions (Happy, Sad, Disgust, Angry and neutral) but we are trying to propose a computational model of facial expression ...

Facial Expression Recognition is a hot topic in recent years. As artificial intelligent technology is growing rapidly, to communicate with machines, facial expression recognition is essential. The recent feature extraction methods for facial expression recognition are similar to face recognition, and those caused heavy load for calculation. In this paper, Digitalized Facial Features based on Ac...

Two studies examined an unexplored motivational determinant of facial emotion recognition: observer regulatory focus. It was predicted that a promotion focus would enhance facial emotion recognition relative to a prevention focus because the attentional strategies associated with promotion focus enhance performance on well-learned or innate tasks - such as facial emotion recognition. In Study 1...

Recently, a number of applications of automatic facial expression recognition systems havesurfaced in many different research fields. The automatic facial expression recognition problem is a very challenging problem because it involves in three sub-problems: 1) face detection, 2) facial expression feature extraction, and 3) expression classification. This paper presents an automatic facial expr...