Design and Implementation of Neuro Based Switching System Control for Power Socket
K. A. A. Aziz1, A. F. Kadmin2, M. A. AB. Aziz3, N. Mohammed4, S. F. Abd Gani5
1Khairul Azha A Aziz, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia.
2Ahmad Fauzan Kadmin, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia.
3Muhammad Azraei Ab Aziz, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia.
4Nadzrie B Mohamood*, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia.
5Shamsul Fakhar Abd Gani, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7947-7951 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4218118419/2019©BEIESP | DOI: 10.35940/ijrte.D4218.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Home Application, Brain Control, Eeg Signal, Switching System, Biosensor.
Scope of the Article: Mobile Computing and Applications.