期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：6
DOI：10.15680/ijircce.2015.0306007
出版社：S&S Publications
摘要：Brain computer interface (BCI) facilitates a connection between the human brain and external devicelike computer and is used for assisting the physically disabled and impaired people. The BCI system can be used foranalysis and classification of EEG signals corresponding to different emotions, including self-report, startle response,behavioral response, autonomic measurement, and neurophysiologic measurement. The EEG signals can play animportant role in detecting the emotional states for developing the BCI based analysis and classification of emotions.Since the BCI based on emotion detection can be useful in many areas like as entertainment, education, and health care.Here in this project we have proposed a prototype embedded controller based model to assist patients which can controlhome appliances. We have used DWT algorithms for feature extraction and features like energy, entropy, mean arecomputed. The KNN classifier is used to classify EEG signal into two states through which the controller controls thehome appliances. The two applications namely switch on/off bulb and turns on/off dc motor are implementedsuccessfully
