This research is related to Neuroscience research fields that study sounds which affect the state of mind of a person. The main focus of this research is to create a system that observes the effects of the auditory stimulus including binaural beats and relaxing music by analyzing the Electroencephalogram (EEG) readings of the participants. EEG is mostly used for recording electrical brain wave signal readings. In addition, the Brain-Computer Interface (BCI) is used to decipher the EEG brain spectrum readings and distinguish between the different EEG bands including Delta, Theta, Alpha, Beta and Gamma. There are 40 participants (20 males, 20 females) around the age group 31 -70 yrs. in this research. The EEG recorded from the participants using the Brain-Computer Interface (BCI) is analyzed using a statistic-based Paired T-test to find the significant difference of each stimulus with each group that separate by age of participants.

The neuroscience research which related to the study of sounds that affected to the person and focused on create the system that observe the effects of binaural beat and instrumental relaxing music by analyzing the recorded Electroencephalogram (EEG) signal of the participants. In addition, the Brain-Computer Interface (BCI) is widely used for recording electrical brain wave signal readings and distinguishes the complexity of the EEG brain spectrum between the different EEG frequencies band including Delta, Theta, Alpha, Beta and Gamma. Moreover, there are 40 subjects was participated in this research. The statistic-based method Hypothesis Testing and Paired T-test were selected as a decision maker to analyze the EEG recorded from the participants using the Brain-Computer Interface to find the significant difference of each stimulus for every groups that separate by the stress level of participants which measured by using a Depression Anxiety and Stress Scales (DASS) questionnaire.