Development Of Neuro IoT Smart Home Controller Using Artificial Intelligence Network (AIN)

Baharin, Nurulain Syamimi (2019) Development Of Neuro IoT Smart Home Controller Using Artificial Intelligence Network (AIN). Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Development Of Neuro IoT Smart Home Controller Using Artificial Intelligence Network (AIN).pdf Download (322kB)

Abstract

This thesis presents the development of neuro IoT smart home controller using Artificial Intelligence network with an EEG sensor. Electroencephalogram (EEG) is a based from the technique that acquiring of neural electrical activity of human by placing electrodes to human scalp. EEG-based Brain Computer Interface (BCI) for smart home is a technology system that allows direct communication and interaction between computer and human brain. The main objective of this project was to control a simple smart home system by generating signals that obtained from the home user command. This included a new development of an example prototype for smart home system whereas the home user can get visualized towards the smart home system. This project is conducted by using the collaboration from software and hardware part of MATLAB software, MindFlex Headset, Bluetooth, NodeMCU and Arduino. The experimental executed when the home user does the eye double blinking which which sensed by EEG sensor then send the understandable command to Arduino devices in order to manage and control a real-time feature of home appliances. The results and the analyzation of data is useful to be implemented in future works that can enhance the quality of life to a better way and ease the life of disabled people.

Actions (login required)

View Item