Effect of Eating Chocolate on Happiness via Electroencephalogram Analysis

This paper employs the electroencephalogrms (EEGs) to analyze the effect of eating the chocolate on the happiness of the subjects. In particular, the EEGs are acquired by a single channel head band as well as the questionnaires on the happiness are conducted before and after eating the chocolate. Here, each EEG is acquired for 10 minutes. Then, the EEGs are transmitted to the cloud system via a bluetooth module. In the cloud system, the EEGs are first denoised using an ideal lowpass filtering via the discrete Fourier transform approach. Next, different features are extracted from different brain waves localized in different frequency bands. By performing the classification of the EEGs between before eating the chocolate and after eating the chocolate for all the EEGs in the test set, the classification accuracy is employed as the score of the happiness. It is found that our obtained score of the happiness is very close to the score obtained in the questionnaires. This implies that the chocolate can improve the happiness of the subjects and the happiness of the subjects can be reflected by the EEGs.