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Mutations at the mouse Fused locus have pleiotropic developmental effects, including the formation of axial duplications in homozygous embryos. The product of the Fused locus, Axin, displays similarities to RGS (Regulators of G-Protein Signaling) and Dishevelled proteins. Mutant Fused alleles that cause axial duplications disrupt the major mRNA, suggesting(More)
Advances in computer processing power and emerging algorithms are allowing new ways of envisioning Human Computer Interaction. This paper focuses on the development of a computing algorithm that uses audio and visual sensors to detect and track a user's affective state to aid computer decision making. Using our Multi-stream Fused Hidden Markov Model(More)
This paper describes automatic speech recognition systems that satisfy two technological objectives. First, we seek to improve the automatic labeling of prosody, in order to aid future research in automatic speech understanding. Second, we seek to apply statistical speech recognition models of prosody for the purpose of reducing the word error rate of an(More)
Perhaps the most fundamental application of affective computing will be Human-Computer Interaction (HCI) in which the computer should have the ability to detect and track the user's affective states, and make corresponding feedback. The human multi-sensor affect system defines the expectation of multimodal affect analyzer. In this paper, we present our(More)
This paper presents an approach to automatically recognize emotion which children exhibit in an intelligent tutoring system. Emotion recognition can assist the computer agent to adapt its tutorial strategies to improve the efficiency of knowledge transmission. In this study, we detect three emotional classes: confidence, puzzle, and hesitation. Emotion is(More)
This paper computationalizes two linguistic concepts, contrast and focus, for the extraction of pragmatic and semantic salience from spontaneous speech. Contrast and focus have been widely investigated in modern linguistics, as categories that link intonation and information/discourse structure. This paper demonstrates the automatic tagging of contrast and(More)
Hepatocellular carcinoma (HCC) is one of the most common human malignancies and the third leading cause of cancer mortality worldwide. The development and progression of HCC is a complicated process, involving the deregulation of multiple genes that are essential to cell biological processes. Recently, microRNAs (miRNAs) have been suggested to be closely(More)
This paper addresses the manual and automatic labeling, from spontaneous speech, of a particular type of user affect that we call the cognitive state in a tutorial dialogue system with students of primary and early middle school ages. Our definition of the cognitive state is based on analysis of children's spontaneous speech, which is acquired during(More)
This paper presents an approach to simulate the mental activities of children during their interaction with computers through their spoken language. The mental activities are categorized into three states: confidence, confusion and frustration. Two knowledge sources are used in the detection. One is prosody, which indicates utterance type and user's(More)
This paper presents a hybrid model to understand spontaneous speech by combination of speech connotation and denotation analyses. The testbed of the approach is an intelligent tutoring system (ITS) collected by Wizard-of-Oz (WoZ) simulations. The children users are inexperienced and their utterances are often dysfluent and have loose grammar structure. To(More)