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Brain control automation is an emerging technology. Even though there are many automated and robotic home applications, this method of home automation controlled by a brain-computer interface will act as a major step in automation research. This research paper discusses the design and development of Brain-Computer Interface of Robot Control with Home Automation for Disabled. The major findings from this paper were an automated system that can interact with the brain and home appliances have been developed from this research work. The finding of this research is the BCI sensor in the scalp sends the brain waves signals to the private computer through Bluetooth medium. The Bulb and Fan are controlled by a brain computing system that uses brain signals as a kind of Attention Level via a Mind Wave Headset. The received BCI signals are processed in pc and transferred to the Arduino controller. The numbers ranging from 1 to 100 are used to evaluate attention and depending on pc serial data, the Arduino controller controls the house appliances. [ABSTRACT FROM AUTHOR]

Stroke diminishes someone’s quality of life since post-stroke symptoms can make some limbs do not function normally -in most cases, feet-thus the stroke patients’ mobility will be limited. However, the brain wave of stroke patients was observed as normal, thus in this study, the normal brainwaves were utilized to rehabilitate post-stroke patient and were expected to help their mobility through wheelchairs with brain waves control so that post-stroke patients can improve their quality of life. Brain Computer Interfaces (BCI) is a technology that allows taking action on a computer based on brain waves. Brain waves are recorded by electroencephalography so they can be processed by a computer. There have been many studies using BCI including analyzing brain waves in humans, many things that can be utilized using BCI make a lot of researchers use them to make smart wheelchairs that use brain control. and developments continue to be made to create the most optimal system. In this project we use one of the topics that is still being developed, that is Motor Imagery, where we record and analyze the brain waves while imagining motor activities such as moving hands, walking, running and so on. This record will serve as data reference to trigger the process on the computer to move the actuator. The purpose of this project is to control the wheelchair based on motor movements obtained by BCI using the Neurosky Mindwave Mobile 2 headset. This headset has one electrode where the signals from one electrode are analyzed by concentration and meditation values from the case of imagery motors, which in this project are more portable than using conventional EEG data acquisition devices that are not portable and use many channels. This headset is able to record data wirelessly via Bluetooth to a PC (Personal Computer), so the obtained signal can be processed and classified into five movement classes using the Matlab GUI, where the classes are default/motionless, move forward, move backward, turn right and turn left. The method used for the wheelchair was replacement of the default joystick in the electric wheelchair with an self-made controller module which was based on brain waves signals obtained from the headset will be processed and classified by Matlab GUI and then forwarded to Arduino Uno to control the motor in the wheelchair. The average success rates of the five classes from five trials were: the first class with a success rate of 82.22 %, the second class with a success rate of 70 %, the third class with a success rate of 73.33 %, the fourth class with a success rate of 46.67 % and the fifth class with a success rate of 17.78 %. The results of this study indicate that Neurosky Mindwave mobile 2 headset can be a possible choice for this project. [ABSTRACT FROM AUTHOR]

Mind Controlled gaming for the Differently Abled aims to open up the arena of gaming entertainment to those that has special needs. The project is modelled in such a way that it facilitates playing games without the need for physical interaction with the game itself such as operating a keyboard. The project uses the capability of the human brain to facilitate this kind of physical interaction less gaming. It uses the principle of Electroencephalography, an electrophysiological observing technique to record electrical movement of the brain. We utilize noninvasive situation of electrodes along the scalp. EEG estimates voltage variances coming about because of ionic current inside the neurons of the brain which are then mapped to certain activities that can be performed within the games. [ABSTRACT FROM AUTHOR]