A Case Study: EEG Based BCI System for Automation
- Author Shivam Srivastava
- Co-Author G.K. Rajini
- DOI
- Country : India
- Subject : Electrical Engineering
Keywords : SSVEP, Fast Fourier Transform, Electroencephalography
Abstract
Brain Computer Interface (BCI) system have shown a remarkable progress in recent years. The BCI has a vast potential in the field of medical science for enhancing the standard of living for the disabled people. Brain Computer Interface (BCI) is categorized as one of the communication network used to make an interface between human intellect and computer to control and function the external devices without having any physical contact of the body part. This offers the easy operations and also very helpful for elderly and specially-abled individuals. This is useful for persons who cannot run the peripheral devices using regular muscular body parts. The proposed system intends to control and actuate home appliances (like electric bulb, fan etc.) employing the use of Steady State Evoked Potentials (SSVEP) based BCI Systems. Subject is made to face a set of stimuli generated through MATLAB code on a Monitor where each stimulus is assigned a specific frequency responsible for actuating the electric bulb. Human concentration Level which can be categorized under non-invasive technique of brains signal measurement. This concentration is being measured by NeuroSky Headset. Concentration level values ranges from 1 to 100. Concentration means user's level of mental attention which occurs during strong meditation and focused (but stable) mental activity. So, to get concentration values subject should observe the object (or focus onto the object). For demonstration purpose here is used one electric bulb for its actuation and switching operation.
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