A Multi Agent System Analyzing Parameters Related to Facial Expressions
نویسندگان
چکیده
We present a multi agent system to generate society profile about facial expressions. Each user interacts with its User Interface Agent which collects user information and communicates with the other agents in the system. A graphical facial animation program is used to monitor facial expressions and to allow the user to draw his/her expressions. The information processed in the system is the parameters related to facial expressions. The parameters are processed for generating general society profile and local agent beliefs according to facial expressions generated by users and the grades assigned to expressions. The society profile is generated by an intelligent agent, called Clustering Agent having ability to cluster all the agent information in the system. The Clustering Agent learns some parameter weights used in the clustering process by the rewards of the users. The system may be a useful tool for multimedia applications, including advertisements, games, and entertainment.
منابع مشابه
Smile Analyzer: A Software Package for Analyzing the Characteristics of the Speech and Smile
Taking into account the factors related to lip-tooth relationships in orthodontic diagnosis and treatment planning is of prime importance. Manual quantitative analysis of facial parameters on photographs during smile and speech is a difficult and time-consuming job. Since there is no comprehensive and user-friendly software package, we developed a software program called "Smile Analyzer" in the...
متن کاملAnalysis and Synthesis of Facial Expressions by Feature-Points Tracking and Deformable Model
Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature points (FFP) in frontal image sequences. Selected facial feature poi...
متن کاملFacial Expression Recognition Based on Anatomical Structure of Human Face
Automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...
متن کاملSynthesis of human facial expressions based on the distribution of elastic force applied by control points
Facial expressions play an essential role in delivering emotions. Thus facial expression synthesis gain interests in many fields such as computer vision and graphics. Facial actions are generated by contraction and relaxation of the muscles innervated by facial nerves. The combination of those muscle motions is numerous. therefore, facial expressions are often person specific. But in general, f...
متن کاملReal-Time Recognition of Facial Expressions for Affective Computing Applications
In this paper, a real-time facial expression recognition system is proposed to classify images of human facial expressions into a two dimensional model of emotion. The system is comprised of a facial feature detection system that uses constrained local models to locate the features, and a facial expression recognition system that utilizes multi-class support vector machines to classify the faci...
متن کامل