IR @ Goa University

Mind controlled automation P300 waves

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dc.contributor.author Lobo, K.
dc.contributor.author Palni, M.
dc.contributor.author Naik, N.
dc.contributor.author Tavares, N.
dc.contributor.author Gad, R.S.
dc.date.accessioned 2017-07-20T08:21:58Z
dc.date.available 2017-07-20T08:21:58Z
dc.date.issued 2016
dc.identifier.citation Proc. Nat. Conf. on Science Education and Research (NCSER 2016), Bangalore, India, Dec 2016. 2016; 5pp. en_US
dc.identifier.uri http://irgu.unigoa.ac.in/drs/handle/unigoa/4858
dc.description.abstract In Biomedical instrumentation, BCI technology is an emerging field and has the large scope for research in Automation and Control system. In this paper we have obtained EEG signals for distinguishing and analysing thoughts in the frontal lobe. Electroencephalography (EEG) equipment are becoming more available on the public market, which enables more diverse research in a currently narrow field. The Brain- Computer Interface (BCI) community recognize the need for systems that makes BCI more user-friendly, real- time, manageable and suited for people that are not forced to use them, like clinical patients, and those who are disabled. Thus, this project is an effort to seek such improvements, having a newly available market product to experiment with: a single channel brain wave reader. However, it is important to stress that this shift in BCI, from patients to healthy and ordinary users, should ultimately be beneficial for those who really need it, indeed. The main focus have been building a system which enables usage of the available EEG device, and making a prototype that incorporates all parts of a functioning BCI system. These parts are 1) acquiring the EEG signal 2) process and classify the EEG signal and 3) use the signal classification to control appliances. en_US
dc.subject Electronics en_US
dc.title Mind controlled automation P300 waves en_US
dc.type Conference article en_US


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