BCI for controlling home automation using EEG.
Author(s):
Aakib Qureshi, Prakash Bhure, Priyanka Wakdikar, Puja Patil, Kalyani Sonkusare, Manisha Khapekar, Gauri Vaidya
Keywords:
Abstract
The aim of this study to control home device using non-invasive brain computer interface (BCI). The electroencephalogram signal (EEG) recorded from the brain activity using the mind wave headsets are interface with the help of Ardunio and HC-05 bluetooth module. The user will controlled various devices in smart home by using their attention and eye blink value. This application will be very useful special for disabled people with special needs. The aim of this seminar is to aquire and identify the EEG signal that is related with the user intension to operate a device in the smart home. In this study we use have use the simple feature that is every eye blink to create an event blink a particular device will be selected, after then give high attention to change state of selected device. For that every eye blink will counted and use for selection of device and device was controlled by attention level of mind wave. In order to control and operate the home using brain signals, a virtual home environment has been created .It consist of many devices like light, fans to operate the user will select desire application using of an eye blink that will cause a select on the toggle for example, the subject can turn on the light by selecting the light device using eye blink and give attention.
Article Details
Unique Paper ID: 145443

Publication Volume & Issue: Volume 4, Issue 10

Page(s): 113 - 115
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