Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Brain Wave Monitoring By Using Open Source Tools

Author : A. H. Pudale 1 Komal Chandiram Jeswani 2 Priyanka Omprakash Tapadiya 3 Sonali Madhukar Kadam 4 Rama Sambhaji Kambl 5

Date of Publication :15th February 2017

Abstract: People have no control over their mental state which may change depending on the circumstances. Therefore monitoring these changes is really important in case of a person suffering from depression, or mental disorder. We aim at developing an android application that will monitor the brain waves and provide an appropriate mental condition depending on the values of the waves obtained. We are developing an android application using android studio and interfacing it with arduino board and EEG sensors using bluetooth. Existing system makes use of this technique just for moving objects depending on the value of the waves. Also existing system monitors the mental condition by using facial expressions, heart rate, body temperature and gestures. There does not exists any application which will allow the users to see their mental condition not in the form of just graph but also actual condition after analysing these graph values. In our project we directly attach the sensors to the head so that we get correct brainwaves. So, that we can monitor and provide an appropriate graph and estimated result.

Reference :

    1. http://store.NeuroSky.com/products/MindWav emobile
    2. Brain controlled car for disabled using artificial intelligence: B. Dharaneswerreddy, 3rd year, E.C.
    3. Human emotions recognition using smart sensors: Muhammad Tauseef Quazi Feb-2012

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