A Review on Brain Wave Signal Appliance Control

Abstract

Brain Computer Interface systems are the tools that have been put forward to help the disabled people who are inadequate of retorting to a computer using brain signal. The development in home automation is moving forward towards the future in creating the ideal smart homes environment. Optionally, home automation system design also been develop for certain situation which for those who need a special attention such as old age person, sick patients, and handicapped person. A braincomputer interface (BCI), often called a mind-machine interface (MMI), or sometimes called a brain-machine interface (BMI), it is a direct communication pathway between the brain and an external device. Most research investigating BCI in humans has used scalp-recorded electroencephalography or intracranial electrocorticography. The use of brain signals obtained directly from stereotactic depth electrodes to control a BCI has not previously been explored. In this paper, we present a smart home automation system using brain-computer interface. BCI is becoming progressively studied as the way users interact with computers because recent technological developments have led to low priced, high exactness BCI devices. These systems that can detour conventional channels of communication (i.e., muscles and thoughts) between human brain and corporeal devices, to provide undeviating communication and sway, by recasting different patterns of brain activity into commands in real time. The device tested in this paper is called Neurosky Necomimmi Brainwave Cat Ears, which is an electroencephalograph (EEG) measuring device and enables the measuring of brain bustle. With the help of this, we are analyzing the brain wave signals. Human brain has millions of interconnected neurons. The interaction pattern between these neurons is represented as emotional states and thoughts. This pattern will be changing as the human thoughts change, which in turn produces different electrical waves. These electrical waves will be sensed by the brain wave sensor and it will convert the data into packets and transmit via Bluetooth medium. Keywords: Brain Computer Interface (BCI), Neurons, Brainwave sensor, Electroencephalogram (EEG), Neurosky, and Arduino. I.INTRODUCTION BCI is used to communicate based on human brains neural activity and it is very much independent of output generated by peripheral nerves and muscles. Typical BCI equipment that utilizes EEG to measure brain activity is expensive and requires expert knowledge to setup and use. The signals generated by brain are received by the brain sensor and are divided into packets and the packet data is transmitted to wireless medium (Bluetooth). The wave measuring unit will receive the brain wave in raw data format and it will convert it into signal. Brain-computer interface is nothing but the interaction between the human brain system and machines. It is a control system which enables the people to communicate and control a device by mere thinking. BCI collects the information from the brain and give command...

Industrial Assistance Systems to Enhance Human–Machine Interaction and Operator’s Capabilities in Assembly

“…From a research perspective, much progress remains to be made in this area. An example of a HMI discussed, are headsets that measure brain waves (Beigh and Beigh 2018) and could thus in the future directly convert the thoughts of the user into interactions of a machine-e.g. to control robotic arms.…”