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Synthesizing the reasonable and natural emotion is important to achieve a more effective and believable human-computer interaction. The paper presents an emotion and personality model based on HMM. The emotion process is regarded as a double random process in the model. Different personality traits of intelligent agent can be built by adjusting the parameters of the model. At the same time, as emotion...
Optical flow is an important method of motion image analysis and has a widely application in machine vision and image processing. The extended optical flow constraint based on the continuity equation of fluid motion is robust to the changes of brightness and deformation of motion objects. In this paper, on the basis of the extended optical flow constraint, a novel approach for estimating facial expression...
Artificial Emotion model is considered as a key component of to achieve a more effective human-computer interaction and its basic and fundamental are the essentially understanding and expression of natural emotion. The paper presents an emotion computing model Based on Random Process. The model simulates the dynamic process of emotional self-regulation and the dynamic process of emotional transference...
This paper proposes a method of facial expressions recognition which combined moment invariants features with singular value. Moment invariants and singular value features are extracted respectively from the eyes, eyebrows and mouth regions in the facial expression images. Then these features are optimized to obtain a feature vector by Fisher linear discriminate analysis and a SVM classifier is trained...
Emotion is now recognized as a central element of human behavior, and thus it should be embedded within the reasoning process when an intelligent agent or a robot aims to emulate human reactions. Therefore, current research in AI shows an increasing interest in artificial emotion for developing the human-like agent. Based on emotion psychology and artificial emotion, this paper presents a behavior...
For the sake of characters of logistics, Improved genetic operator based particle swarm optimization (GOPSO) is proposed. An pseudo-continuous encoding algorithm are proposed to the GOPSO for the vehicle routing problem (VRP), then information of all the particles is reserved and stored. The reserved information can be utilized to reform and update the particles, by which the efficiency of GOPSO is...
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