Implementation of neuro based switching system control for IoT smart home

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.

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