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This paper addresses the problem of automated analysis of gaze states (fixation or motion). First, we present a novel dynamic and multi-level analysis structure for the detection of gaze states based on eye action units (AUs). Then the eye action units are analyzed both in spatial and temporal domain. And finally these eye AUs form the input to infer eye gaze state by employing Hidden Markov Models...
At present, it is very urgent to protect the juniors from the negative influence of the internet. This paper aims at the automated Juvenile detection based on facial appearance as the gateway for the access of adult websites. To describe the facial appearance, local binary patterns (LBP) are applied to extract the local texture from three main facial regions including forehead, eye corner and cheek...
This emotion based intelligent tutoring system for English instruction is designed to make up the lack of emotional factors in cognitive ability of traditional intelligent tutoring systems. Microsoft Agent is used as interactive platform in the system. Audio and image information is used as interactive methods. Result of emotional face image recognition is used as one of evaluation factors, to guide...
Successful ITS (Intelligent Tutor System) design depends on a large number of factors. This paper focuses on emotional interaction in ITS. An artificial emotional model based on HMM(Hidden Markov Model) is proposed. In this model, the teacher's mood and emotion is created in the form of probability, as well as, the recognition results of students' facial expression are regarded as the actuating signal...
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