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Journal of Engineering and Applied Sciences

Emotion based Audio Player Using Mind Wave EEG Sensor
G. Muneeswari

Abstract: In this study, an attempt is made to develop an android based application that can play songs automatically, based on our emotional state. The application is connected via. Bluetooth to the mind wave Electroencephalograph (EEG) sensor which helps to determine the mood of a person based on the brainwave readings. Human brainwave consists of alpha, beta, gamma and theta waves. The EEG sensor can detect two states of mind active and sleepy. It determines the user’s mood as active when the brain wave has excess beta waves and sleepy when the brain wave has excess alpha waves. Using this feature, it is possible to play a suitable song that is congruous to the user’s frame of mind. The results obtained were analyzed using Naive Bayes classifier and this low cost implementation showed an overall accuracy of 97.5%.

How to cite this article
G. Muneeswari , 2018. Emotion based Audio Player Using Mind Wave EEG Sensor. Journal of Engineering and Applied Sciences, 13: 5045-5051.

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