ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification

Artificial intelligent systems often model the solutions of typical machine learning problems, inspired by biological processes, because of the biological system is faster and much adaptive than deep learning. The utility of bio-inspired learning methods lie in its ability to discover unknown patterns, and its less dependence on mathematical modeling or exhaustive training. In this paper, we propose a new bio-inspired learning model for a single-class classifier to detect abnormality in video object trajectories. The method uses a simple but dynamic extreme learning machine (ELM) and hierarchical temporal memory (HTM) together referred to as ELM-HTM in an unsupervised way to learn and classify time series patterns. The method has been tested on trajectory sequences in traffic surveillance to find abnormal behaviors such as high-speed, unusual stops, driving in wrong directions, loitering, etc. Experiments have also been performed with 3D air signatures captured using sensors and used for biometric authentication(forged/genuine). The results indicate a significant gain over training time and classification accuracy. The proposed method outperforms in predicting long-time patterns by observing small steps with an average accuracy gain of 15% as compared to the state-of-the-art HTM. The method has applications in detecting abnormal activities in videos by learning the movement patterns as well as in biometric authentication.     

Socially emotional brain-inspired cognitive architecture framework for artificial intelligence

Artificial Intelligence of the next generation needs to interact with users socially, convincing them in its ability to understand human minds, including emotions. For this to happen, an artificial emotional intelligence is needed, capable of adequate, believable behavior in social emotional interactions. Building on previous developments, the present work extends the general framework of emotional Biologically Inspired Cognitive Architecture (eBICA: Samsonovich, 2013, 2018), endowing it with fluents describing, in addition to appraisals, somatic markers, feelings, emotions, moods, emotional reactions and biases. Key building blocks that integrate them are moral schemas and semantic maps. The model describes interaction of three factors: plans and commitments, moral and ethical values, and somatic comfort. Learning in this framework includes self-organization of semantic maps that in turn may provide guidance for active humanlike learning. Implications for empirical studies and practical applications are discussed together with the expected impact.     

The role of instruction preference in analogy learning: Brain activity and motor performance

This study examined the role of verbal instruction preference when learning motor skills by analogy. During skill learning, analogies are a useful tool for providing knowledge about how to move. It has been argued that analogy instructions reduce reliance on verbal information processes during motor planning, compared to traditional forms of instruction (i.e., explicit rules about how to move). This may be reflected by reduced verbal activity in the brain, measured by EEG alpha power at the temporal region, as well as reduced verbal-motor cross-communication (EEG T7-Fz coherence) during the preparation phase of a movement. Preference for using verbal or visual instructions is likely to influence the efficacy of analogy instructions. This study investigated whether preference for verbal instructions was related to a) changes in performance and b) changes in verbal-cognitive information processing during performance of an adapted basketball task after instruction by analogy. Basketball novices with a high preference for verbal instructions (n = 15) showed significantly decreased activation of verbal brain regions when they used the analogy (high-alpha power), but their performance remained stable. Novices with a low preference for verbal instructions (n = 13) did not show a significant decrease in activation of verbal regions, and their performance deteriorated significantly after introduction of the analogy instruction. It is likely that both cognitive and performance changes after analogy instruction depend on personal aspects of information processing, such as verbal preference.     

Motivational climate,psychological needs,and personal and social responsibility in youth soccer: Comparisons by age group and competitive level

ObjectivesWe used a developmental lens to examine age group and competitive level differences on motivational climate dimensions, psychological needs satisfaction, and personal and social responsibility as well as relationships among variables, in line with basic psychological needs theory.DesignWe used a cross-sectional, correlational design.MethodGirls and boys age 8–13 on recreational and select soccer teams completed a survey.ResultsA 2 × 2 MANOVA showed main effects for age group and competitive level: early adolescents reported greater punishment for mistakes and autonomy compared to children; select players reported greater mastery climate dimensions and personal responsibility compared to recreational players. For all groups, path analyses revealed perceptions of cooperative learning were indirectly associated with personal and social responsibility, through coach and/or teammate relatedness.ConclusionsPatterns of relationships by age group and competitive level are discussed in reference to developmental literature. Results highlight the value of using a developmental approach to understand how coaches can promote youth soccer players’ psychological and social well-being.     

隐藏情绪分析与识别方法

隐藏情绪识别对公共安全防范与预警具有重要的意义。微表情是揭示隐藏情绪的一条重要通道。但目前隐藏情绪研究较少且微表情因其细微幅度与快速出现等特性难以识别, 其研究尚未在实际中广泛应用。因为, 隐藏情绪的认知与表达机理亟需系统的研究,采集实际场景中的微表情数据, 并以脑电信号辅助微表情的精确标注是提高微表情标注效率的有效途径。深入研究微表情识别方法, 并辅以人脸颜色、注视估计和非接触生理信号等多通道数据, 以检测与识别隐藏情绪。社会公共安全是隐藏情绪分析和识别的典型场景。面向精神疾病患者两害行为(即危害自身或他人的危险行为)风险评估和服刑人员会见场景隐藏情绪检测, 可以有效地对相应系统和方法进行验证和修正。     

语言差异对跨通道情绪启动效应的影响

采用跨通道启动范式,探讨言语与面孔情绪加工的相互影响效应,以及语言差异（母语：汉语;非母语：英语）在其中的影响作用。实验1以言语情绪词为启动刺激,面孔情绪为目标刺激,结果发现,相比于英语启动刺激条件,在汉语启动刺激条件下的面孔情绪判断具有更好的表现;在积极情绪启动条件下,言语情绪刺激能够启动面孔情绪刺激。实验2以面孔情绪为启动刺激,言语情绪词为目标刺激,结果发现,相比于英语目标刺激条件,在汉语目标刺激条件下的言语情绪判断具有更好的表现;在积极情绪启动条件下,面孔情绪刺激能够启动言语情绪刺激。研究结果表明,言语情绪与面孔情绪的加工能够相互影响,但这种相互关系仅表现在积极情绪启动条件下。此外,母语和非母语在情绪功能上具有差异性。     

高低水平汉英二语者阅读难易英语句子的知觉广度

通过考察高、低水平汉英二语者阅读难易英语句子的知觉广度,本研究发现二语水平和句子难度调节汉英二语者的英语阅读速度,但不影响其阅读知觉广度,均表现为注视词左侧1个词至右侧1个词。该结果表明汉英二语者采用相对固定的注意分配策略来阅读英语,与中央凹加工负荷假说不一致。     

偏侧化颜色范畴知觉不依赖于语言?

本研究探讨了偏左脑颜色范畴知觉依赖于语言还是范畴。三组被试分别完成无干扰、语言加工干扰和范畴加工干扰视觉搜索任务。结果发现：无干扰组、语言加工干扰组和范畴加工干扰组的视觉搜索任务中分别出现了偏左脑颜色范畴知觉、左脑劣势颜色范畴知觉和无偏侧化颜色范畴知觉。此结果表明,偏左脑颜色范畴知觉可能主要是语言范畴作为一种范畴对颜色知觉的影响效应,但语言范畴的语言属性也会对颜色知觉产生影响。