Individuals with neurodegenerative attacks loose the entire motor neuron movements. These conditions affect the individual actions like walking, speaking impairment and totally make the person in to locked in state (LIS). To overcome the miserable condition the person need rehabilitation devices through a Brain Computer Interfaces (BCI) to satisfy their needs. BMI using Electroencephalogram (EEG) receives the mental thoughts from brain and converts into control signals to activate the exterior communication appliances in the absence of biological channels. To design the BCI, we conduct our study with three normal male subjects, three normal female subjects and three ALS affected individuals from the age of 20–60 with three electrode systems for four tasks. One Dimensional Local Binary Patterns (LBP) technique was applied to reduce the digitally sampled features collected from nine subjects was treated with Grey wolf optimization Neural Network (GWONN) to classify the mentally composed words. Using these techniques, we compared the three types of subjects to identify the performances. The study proves that subjects from normal male categories performance was maximum compared with the other subjects. To assess the individual performance of the subject, we conducted the recognition accuracy test in offline mode. From the accuracy test also, we obtained the best performance from the normal male subjects compared with female and ALS subjects with an accuracy of 98.33 %, 95.00 % and 88.33 %. Finally our study concludes that patients with ALS attack need more training than that of the other subjects.

神经退行性发作的个体使整个运动神经元运动丧失。这些条件会影响步行，说话障碍等个人行为，并完全使该人处于锁定状态（LIS）。为了克服痛苦的状况，人们需要通过脑部计算机接口（BCI）的康复设备来满足他们的需求。使用脑电图（EEG）的BMI接收来自大脑的精神思想，并转换为控制信号，以在没有生物通道的情况下激活外部通讯设备。为了设计BCI，我们进行了研究，研究对象是三名正常男性受试者，三名正常女性受试者和三名20岁至60岁的ALS受影响个体，并使用三个电极系统完成四个任务。应用一维局部二值模式（LBP）技术来减少从九个受试者收集的数字采样特征，然后使用Gray Wolf优化神经网络（GWONN）对其进行分类，以对心理组成的单词进行分类。使用这些技术，我们比较了三种类型的主题以识别表演。该研究证明，与其他受试者相比，来自正常男性类别的受试者表现最佳。为了评估受试者的个人表现，我们在离线模式下进行了识别准确性测试。同样从准确性测试中，我们从正常男性受试者中获得的成绩最佳于女性和ALS受试者，其准确性为98.33％，95.00％和88.33％。最后，我们的研究得出结论，患有ALS的患者比其他受试者需要更多的培训。