Brain Computer interface (BCI) is an emerging technology which empowers human to regulate the computer or other electronic gadgets with brain signals. This paper presents an electroencephalography (EEG) based BCI system with filtered electromyographic (EMG) signals for automating the home appliances. EEG signals are usually contaminated by various noise or artifacts which have to be removed in order to correctly interpret the desired output. The system focuses on extracting the EMG signals generated from the hand movement which can be used by a cripple, paraplegic, lame, paralyzed or a person with special need to enhance their independence and increase their capabilities. EEG signals are recorded and filtered out using hybrid digital filters. In this work, the filtered signals are sent to the micro-controller to operate different devices.

脑计算机接口（BCI）是一项新兴技术，使人类能够通过脑信号调节计算机或其他电子产品。本文提出了一种基于脑电图（EEG）的BCI系统，该系统具有滤波后的肌电图（EMG）信号，可实现家用电器的自动化。EEG信号通常受到各种噪声或伪影的污染，必须将其去除才能正确解释所需的输出。该系统专注于提取手部动作产生的EMG信号，这些信号可以用于by子，截瘫，la子，瘫痪者或有特殊需要的人使用，以增强其独立性并增强其能力。使用混合数字滤波器记录并过滤掉EEG信号。在这项工作中，滤波后的信号被发送到微控制器以操作不同的设备。