EEG-Based Brain Computer Interface (BCI) For Smart Home Control Using Raspberry PI

Ma, Seet Ting (2016) EEG-Based Brain Computer Interface (BCI) For Smart Home Control Using Raspberry PI. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text EEG-Based Brain Computer Interface (BCI) For Smart Home Control Using Raspberry PI 24 Pages.pdf - Submitted Version Download (587kB)

Abstract

Electroencephalogram (EEG) is brain electrical activities recorded through electrodes when placed on human scalp with an EEG bio amplifier. BCI is a system that detects the brain electrical activities and translate those specific features of those signals that represents the intents of the users into computer readable commands. The basic idea of BCI is to connect human brain with machines to accomplish certain tasks. Currently, some low cost EEG systems were developed to provide a new way to explore human mind with affordable price in the market. Hence in this project, a smart home control using brain wave with the use of real time information is developed from a low-cost EEG system, Emotiv EPOC to build a smart home using Raspberry Pi and MATLAB software. Graphic user interface (GUI) is developed to visualize the brain signals and these signals are vital to control and monitor simple home appliances. Basically, the EEG system amplifies the real time brain signals and then send it wirelessly to the computer/laptop using Bluetooth. The signals are then being processed and filtered using MATLAB software and later the processed signals are sent to the Raspberry Pi via Ethernet cable to execute the simple functions such as switch on or off of lamps, CCTV and to play music using BCI. This application is very useful especially for people with special needs. It is vital to escalate living quality of citizens and it is going to be a trend in future technologies.

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