Abd Rasid, Nurul Azirah (2021) Implementation of neuro based switching system control for IoT smart home. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)
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Abstract
A biosensor is a type of analysis that converts a biological response into an electrical signal. Although an electroencephalogram (EEG) is a process that allows a metal electrode to measure and record electric impulses from the brain. The smart home controller featuring biosensors is a system which allows human brain and house appliances, microcontrollers or computers to communicate. The major purpose of this work is to implement a neuro-based switching system for biosensor-based home appliance control and to assess system performance in terms of biosensor and IoT performance. To achieve the goal, an EEG signal was collected using a low-cost EEG biosensor. The EEG signal was also analysed and classified using a Nodemcu ESP8266 serial monitor. This classification signal was already set up to send a command to the NODEMCU ESP8266 which could be used to control a real-time home appliance. To turn on and off home appliances, the EEG device communicates with a microcontroller or computer. Apart from analyzing biosensor data, an IoT platform such server can track the use of household appliances through the internet.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Electroencephalogram, Eeg, Signal, Electrode, Brain, Microcontroller, Impulses, Microcontrollers |
Divisions: | Library > Final Year Project > FTKEE |
Depositing User: | Norfaradilla Idayu Ab. Ghafar |
Date Deposited: | 17 Nov 2023 03:10 |
Last Modified: | 17 Nov 2023 03:10 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/27778 |
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