Development of brainwave pattern identification system for brain controlled robot using brainsense (BEEA_T37)

Mohd Fauzi, Siti Suryana (2021) Development of brainwave pattern identification system for brain controlled robot using brainsense (BEEA_T37). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

BCI (Brain Computer Interfaces) is a technology that allows us to control a computer with your thoughts. Electroencephalography records brain waves so that they can be analysed by a computer. Many studies have been done using BCI, including analysing brain waves in humans. Because there are so many things that can be done with BCI, many researchers have used it to create things like robots and wheelchairs that use brain control and improvements are still being made to create the best system. In this project, the identification system will be develop to produce the brainwave data and the brain will controlling the robot movements. Neurosky device will be used for this project to detect the brainwave signal from the brain according to the signals which are transmitted and received by the neurons from the mind where the attention level and eye blink will used as a method to generate the data. After that, the brainwave pattern of the robot movements will recognize and identify from the Maltab Software. Other than that, the aim of this project to help paralyze people to make a movements by giving the signal through the brainwave signals. At the same time, by developing the robot with brainsense controlled it can help the paralyzed people to make a movement. Therefore, based from this project’s, the mind wave controlling robot system is based on brain-computer interfaces (BCIs).

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