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首页> 外国专利> METHOD OF VIDEO-COMPUTER-AIDED DIAGNOSIS OF THE EMOTIONAL STATE OF TRAINEES AND GENERATING DECISIONS ON RATIONAL DIVISION OF EDUCATIONAL GROUPS

METHOD OF VIDEO-COMPUTER-AIDED DIAGNOSIS OF THE EMOTIONAL STATE OF TRAINEES AND GENERATING DECISIONS ON RATIONAL DIVISION OF EDUCATIONAL GROUPS

机译：视频计算机对traines情绪状态的诊断方法及对教育群体理性划分的决定

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FIELD: psychology.;SUBSTANCE: invention refers to psychology, namely to educational psychology, and it can be used to obtain objective data on the process of training, learning of material, cognitive ability of the trainees in process of trainings, with a possibilty of educational groups division into subgroups in accordance with the level of emotional state. Information about the face expression of trainees is fixed by video camera. Individual informative signs of consciously uncontrolled psychophysiological states of each trainee's face expression are detected and recognized, they are compared with identifiers stored in data base in the form of photo sample. Recognized images are classified in accordance with two-dimensional circumplex model of emotion of J. Russell. Complexity of training information is increased in series and discretely n+j, j∈Ν, measuring and memorizing in the memory array physiological parameters of trainees at each n+j level of complexity. Initial set of trainees is divided into the subgroups in accordance with the level of emotional state. Limiting level of learning material complexity n is determined for each subgroup of trainees.;EFFECT: method allows to enhance the quality of training due to consideration of optimal combination of learning material complexity and measurement of psychophysiological parameters, as well as rational division of educational groups into the subgroups in accordance with the level of emotional state.;1 cl, 6 dwg
机译：领域：心理学。;实体：发明是指心理学，即教育心理学，可以用来获得有关训练过程，材料学习，受训者的认知能力的客观数据，并且可能根据情绪状态的高低，将教育群体分为亚组。有关受训者面部表情的信息由摄像机固定。检测并识别出每个受训者面部表情有意识地不受控制的心理生理状态的各个信息标志，并将它们与以照片样本形式存储在数据库中的标识符进行比较。根据J.Russell情感的二维外接模型对识别的图像进行分类。训练信息的复杂性依次增加，离散地增加n + j，j∈N，在每个n + j复杂度级别上测量和存储受训者的生理参数。最初的受训者根据情绪状态的高低分为几组。为学员的每个子组确定学习材料复杂性n的限制水平。效果：由于考虑到学习材料复杂性和心理生理参数的最佳组合以及对教育群体的合理划分，该方法可以提高培训质量根据情绪状态水平分为亚组。1cl，6 dwg

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