In a growing world of technology, psychological disorders became a challenge to be solved. The methods used for cognitive stimulation are very conventional and based on one-way communication, which only relies on the material or method used for training of an individual. It doesn't use any kind of feedback from the individual to analyze the progress of the training process. We have proposed a closed-loop methodology to improve the cognitive state of a person with ID (Intellectual disability). We have used a platform named 'Armoni', for providing training to the intellectually disabled individuals. The learning is performed in a closed-loop by using feedback in the form of change in affective state. For feedback to the Armoni, an EEG (Electroencephalograph) headband is used. All the changes in EEG are observed and classified against the change in the mean and standard deviation value of all frequency bands of signal. This comparison is being helpful in defining every activity with respect to change in brain signals. In this paper, we have discussed the process of treatment of EEG signal and its definition against the different activities of Armoni. We have tested it on 6 different systems with different age groups and cognitive levels.
翻译:在日益增长的技术世界中,心理障碍成为了需要解决的一个挑战。认知刺激方法非常传统,并且基于单向通信,仅依靠个人培训所使用的材料或方法。它不使用个人的任何反馈来分析培训进程的进展。我们提出了一个封闭环方法来改善有身份(智力残疾)的人的认知状态。我们使用了名为“Armoni”的平台来向智力残疾者提供培训。学习是通过使用感官状态变化形式的反馈在闭路中进行的。对 Armoni的反馈,使用了EEEEG(电子phalogy)头带。EEEG的所有变化都与所有频带信号的平均和标准偏差值的变化相匹配和分类。这种比较有助于界定与大脑信号变化有关的每一项活动。在本文中,我们讨论了EEG信号的处理过程及其与Armoni不同活动的定义。我们用不同年龄和认知等级的不同系统测试了EEG信号。