With the continuous development of the modern intelligent household, people found that brain wave can be used for controlling household appliances. EEG signal, as a typical brain wave signal carrying the brain state information, has walked into the researcher's view. Brain wave carries detailed information about the state of the brain. As a result, using computer to collect and analyze EEG signal plays a great role in smart home. This paper uses positive and negative emotional EEG signal as the research object, begins with introducing the research status of brain waves, and then uses the Chinese Affective Picture System (CAPS [12]) of Chinese Academy of Sciences, designs the watch pictures to experiment, utilizes machine learning algorithm of support vector machine (SVM) for data analysis, and obtains an accuracy of 58.3% eventually. This paper provides a feasible scheme for the study of EEG in the field of emotion analysis.
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