Open AccessDesign and Implementation of Neuro Based Switching System Control for Power Socket
Author(s) -
Khairul Azha A Aziz,
Ahmad Fauzan Kadmin,
Muhammad Arif Ab Aziz,
Nadzrie B Mohamood*,
Shamsul Fakhar Abd Gani
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d4218.118419
Subject(s) - microcontroller , computer science , signal (programming language) , arduino , computer hardware , controller (irrigation) , visualization , biosensor , embedded system , electroencephalography , internet of things , signal processing , real time computing , artificial intelligence , digital signal processing , psychology , programming language , biochemistry , chemistry , psychiatry , agronomy , biology
Biosensor is an analytical device that used to convert a biological response into an electrical signal. While, electroencephalogram (EEG) is a test that measures and records electrical signal from the brain through a metal electrode. Smart home controller using biosensor is a system that allows a communication of human brain and home appliances, microcontroller or computer. The main objective of this project is to design and implement a neuro based switching system control for power socket using biosensor and IoT data visualization, and to analyze system performance in terms of biosensor and IoT performance. To achieve the objective, EEG signal acquired by using a low cost EEG biosensor that is Neurosky Mindflex device. After that, EEG signal was analyzed and classified through Arduino (IDE) serial monitor. Next, classified signal was used to control a real-time home appliance by sending a command to NODEMCU ESP8266. A communication between Neurosky Mindflex device with microcontroller or computer are designed to turn on and off home appliances. Besides biosensor data visualization, home appliances usage can be observed through IoT platform i.e. ThingSpeak via the internet.