基于外界刺激与个性特征的情绪状态转移模型

In order to use mathematical methods to study how cognitive reappraisal strategies affect the output state of emotions, Gross’s cognitive reappraisal strategy is transformed into a quantitative parameter which is propo-sed to describe the general perception of emo-tional events on the basis of the emotion regu-lation. According to Gross’s emotional reg-ulation model, the Finite State Machine (FSM) model is used for describing the process of emotional state transition and the Likert 5 grading scale is introduced to study the level of an individual’s reappraisal according to the participant’s self-evaluation. The exp-erimental results verify that the algorithm can effectively describe the relationship between the reappraisal strategy, emotional events and an emotion- generative process. There are multiple dimensions of a human’s emotional state. Thus, in the field of human-computer interaction, further research requires the development of a specific algorithm which can be implemented by a computer for the emotion regulation process.     

基于关键点LBP特征提取的面部AU组合识别

提出以面部关键点为中心选取子区域,对各个子区域提取（Local binary pattern,LBP）特征,用最近邻分类器进行面部运动单元（Action unit,AU）组合识别。AU的运动与面部特定肌肉的变化有关,基于关键点特征的提取方法可最大限度提取有用的信息,减少冗余信息,与提取整幅面部表情图像的LBP特征方法相比较,其识别结果有明显的优势。     

Emotion and disaffection with school mathematics

This paper reports some initial findings from research designed to understand more deeply the motivational and emotional landscape of disaffection with school mathematics. A context is described in which there has been significant concern expressed about a number of aspects of mathematics education, but where affect is seen as salient to these problems, including levels of attainment. A case is made that a focus on the qualitative study of motivation and emotion may be more central to an understanding of the phenomenon of disaffection than that of a quantitative study of attitude. The study involved students at two Further Education Colleges who had performed poorly in national examinations, but were required to continue studying mathematics. It was expected that many of them would be disaffected with mathematics. A mixed method approach was adopted, in which students were asked to complete a simple questionnaire on their experience of emotion in mathematics classrooms, and were then interviewed using a range of procedures to elicit qualitative data about their experience of mathematics. Reversal Theory was used as a framework to inform the design of the methods used and analysis of the data. Results demonstrate the richness and volatility of their motivational and emotional experiences of mathematics.     

一种音乐情绪参数化的方法

针对目前基于情绪的音乐分类研究存在的弊端,为了方便音乐检索,本文提出一种音乐情绪参数化的方法。该方法通过提取反映音乐情绪的特征向量,然后利用fisher算法进行维数压缩,再通过大量的音乐样本训练得到节奏、音调和音色3个描述音乐情绪的参数,参数的大小反映了情绪的强弱。实验结果表明,音乐情绪参数化的结果符合音乐实际的情绪。     

躯体化症状患者红外热像的特点及临床价值探讨

通过红外热像检测技术,获得了躯体化症状患者体表温度分布的特点,能为临床提供识别躯体化症状的指标。用躯体化症状自评量表筛查出躯体化症状患者162人。以这些患者为观察组,以非躯体化症状患者145人为对照组,全部进行规范性红外热像检查。每人撷取5帧图像,辨识其图形特点及图像异常情况,并比较两组间的差别。观察组图像的结果是,3例正常,107例（66.1%）轻度异常,42例（26%）中度异常,10例（6.2%）重度异常。对照组图像的结果是,127例（87.6%）正常,18例（12.4%）轻度异常,0例（0%）中度异常,0例（0 %）重度异常。观察组患者的红外热像温度分布总异常率为98%。因此,躯体化症状患者出现的异常温度分布图像可作为躯体化症状的识别指标。     

Intensified Sentiment Analysis of Customer Product Reviews Using Acoustic and Textual Features

Sentiment analysis incorporates natural language processing and artificial intelligence and has evolved as an important research area. Sentiment analysis on product reviews has been used in widespread applications to improve customer retention and business processes. In this paper, we propose a method for performing an intensified sentiment analysis on customer product reviews. The method involves the extraction of two feature sets from each of the given customer product reviews, a set of acoustic features (representing emotions) and a set of lexical features (representing sentiments). These sets are then combined and used in a supervised classifier to predict the sentiments of customers. We use an audio speech dataset prepared from Amazon product reviews and downloaded from the YouTube portal for the purposes of our experimental evaluations.     

普通化学精品资源共享课建设若干问题思考

从自身普通化学精品资源共享课建设的实践体会论述了建设精品资源共享课应该注意的一些问题,如增加知识点连串设计、视频情感化设计,利用录像方式进行最优化选择或组合,以及充分利用现代信息技术手段进行交互平台建设等,最后对如何科学构建网络课程的评价体系进行了深入探析.     

应用模糊支持向量机进行英文情感分类

针对英文情感分类问题,对不同样本采用不同权重,通过引入模糊隶属度函数,通过计算样本模糊隶属度确定样本隶属某一类程度的模糊支持向量机分类算法,通过对比选取不同核函数和不同惩罚系数的结果.仿真实验结果表明应用模糊支持向量机进行英文情感分类具有较好的分类能力和较高的识别能力.     

化学教学情感艺术的地位、功能及策略

化学教学情感艺术和认知艺术是一整体,是实现课程目标的手段,是目的与手段,本体与工具的统一。它具有动力、调节、迁移、感染、创新等功能。其实施可以通过语言情感、体态情感、超出预期、实验审美、情感激励等策略进行。     

Speech emotion recognition using modified quadratic discrimination function

Quadratic Discrimination Function （QDF） is commonly used in speech emotion recognition, which proceeds on the premise that the input data is normal distribution. In this paper, we propose a transformation to normalize the emotional features, emotion recognition. Features based on prosody then derivate a Modified QDF （MQDF） to speech and voice quality are extracted and Principal Component Analysis Neural Network （PCANN） is used to reduce dimension of the feature vectors. The results show that voice quality features are effective supplement for recognition, and the method in this paper could improve the recognition ratio effectively.