Abstract: In order to achieve the intelligent control of home system, a solution based on brain computer interface, recognition and classification of brain electrical signals and AR (Augmented Reality) is proposed.EEG (Electro Encephalo Gram) signals are collected and extracted from the brain by wearing a device, and the data is de-noised by wavelet transform and further processed by STFT ( Short Time Fourier Transform). Then,PCA(Principal Component Analysis) and CNN(Convolutional Neural Network) are used for classification to form a classification model. According to the classification results, the instructions is obtained from the brain to control the home. Combined with AR technology, the control process can be visualized and is more interactive,which is in line with the development trend of the control method of the future smart home.

Key words: brain computer interface, smart home, the electro encephalo gram (EEG) signal, convolutional neural network(CNN), augmented reality (AR) technology