Various emotions are produced by the human during interaction or communication and they vary in meaning, intensity, and complexity. Behavioral Emotions can also be expressed by human body language, voice tone, facial expression, etc. and it may be easy to understand, but when we are talking about those humans which not able to express their emotions by behavior, is very difficult to recognize the emotions in this situation brain signals can be used for that. In this paper, we classified the emotions using a signal which produces in the human brain according to their emotional state. We used EEG Eight frequency band signals for emotion detection. Expressions were discussed and recognized different emotions such as happy, sad, angry, fear, surprise, neutral, and disgust. by showing 5 minutes of these seven emotion-based Indian movies clipping and analyzing the intensity of the emotion by the brain signal and comparing it with the statement of the person. For this, we choose 50 people aged between 18- 50andselected 35 Indian movie clippings based on seven emotions. For emotion detection, we applied two methods reply to the questions and another Support vector machine for the classification of brain signals to get better accuracy.