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：在技术日益发展的世界中，心理障碍成为亟待解决的挑战。目前用于认知刺激的方法较为传统，且基于单向沟通机制，仅依赖个体训练所使用的材料或方法，无法利用个体反馈分析训练过程的进展。我们提出了一种闭环方法来改善智力障碍者的认知状态。采用名为"阿莫尼"的平台为智力障碍者提供训练，通过情感状态变化形式的反馈实现闭环学习。为向阿莫尼提供反馈，使用脑电图头带。观测所有脑电变化，并根据信号各频段均值与标准差的变化进行分类。该比较有助于根据脑信号变化定义各项活动。本文讨论了脑电信号的处理过程及其与阿莫尼不同活动对应关系的定义方法。我们在6套不同系统上进行了测试，涵盖不同年龄组和认知水平。