Face Behavior Recognition Through Support Vector Machines

Abstract

Communication between computers and humans has grown to be a major field of research. Facial Behavior Recognition through computer algorithms is a motivating and difficult field of research for establishing emotional interactions between humans and computers. Although researchers have suggested numerous methods of emotion recognition within the literature of this field, as yet, these research works have mainly focused on one method for their system output i.e. used one facial database for assessing their works. This may diminish the generalization method and additionally it might shrink the comparability range. A proposed technique for recognizing emotional expressions that are expressed through facial aspects of still images is presented. This technique uses the Support Vector Machines (SVM) as a classifier of emotions. Substantive problems are considered such as diversity in facial databases, the samples included in each database, the number of facial expressions experienced an accurate method of extracting facial features, and the variety of structural models. After many experiments and the results of different models being compared, it is determined that this approach produces high recognition rates.

Authors and Affiliations

Haval Ahmed, Tarik Rashid, Ahmed Sadiq

Keywords

Related Articles

Effects of Pronunciation Practice System Based on Personalized CG Animations of Mouth Movement Model

Pronunciation practice system based on personalized Computer Graphics: CG animation of mouth movement model is proposed. The system enables a learner to practice pronunciation by looking at personalized CG animations of...

Pre-Eminance of Open Source Eda Tools and Its Types in The Arena of Commercial Electronics

Digital synthesis with a goal of chip designing in the commercial electronics arena is packed into large EDA Software providers like, Synopsys, Cadence, or MentorGraphics. These commercial tools being expensive and havin...

NFC Technology for Contactless Payment Echosystems

Since the earliest ages, the human being has not ceased to develop its system of exchange of goods. The first system introduced is barter, it has evolved over time into currency by taking various forms (shells, teeth, fe...

Mobile Software Testing: Thoughts, Strategies, Challenges, and Experimental Study

Mobile devices have become more pervasive in our daily lives, and are gradually replacing regular computers to perform traditional processes like Internet browsing, editing photos, playing videos and sound track, and rea...

Classification of Affective States via EEG and Deep Learning

Human emotions play a key role in numerous decision-making processes. The ability to correctly identify likes and dislikes as well as excitement and boredom would facilitate novel applications in neuromarketing, affectiv...

Download PDF file
  • EP ID EP159216
  • DOI 10.14569/IJACSA.2016.070115
  • Views 85
  • Downloads 0

How To Cite

Haval Ahmed, Tarik Rashid, Ahmed Sadiq (2016). Face Behavior Recognition Through Support Vector Machines. International Journal of Advanced Computer Science & Applications, 7(1), 101-108. https://europub.co.uk/articles/-A-159216