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：在科技日益发展的世界中，心理障碍成为亟待解决的挑战。用于认知刺激的方法较为传统，且基于单向沟通模式，仅依赖个体训练所用的材料或方法，未采用任何来自个体的反馈来分析训练进展。我们提出了一种闭环方法，用于改善智力障碍（ID）个体的认知状态。我们使用名为"Armoni"的平台为智力障碍个体提供训练。通过以情感状态变化为形式的反馈实现闭环学习。为向Armoni提供反馈，采用了脑电图（EEG）头带。我们观测到所有脑电信号变化，并根据信号各频带均值和标准差的变化进行分类。这种比较有助于根据脑信号变化定义每一项活动。本文讨论了脑电信号处理过程及其针对Armoni不同活动的定义。我们在6个不同年龄组和认知水平的系统上进行了测试。