Analysis And Development Of A Control Strategy For Robotic Wheelchair Controlled Using Single Channel Eeg Headset

Mohamad Amirul, Ariffin (2015) Analysis And Development Of A Control Strategy For Robotic Wheelchair Controlled Using Single Channel Eeg Headset. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, with modern days of new generation many improvement and new innovative of machine, system and devices have been made. These developments also take account of in refining in quality life of people especially in medical. Biomedical signal lately have been a hot topic for researchers, as many journals and books related to it have been publish. In this paper, the control strategy to help damaged motor patient using BCI on basis of EEG signal was used. BCI is a technology that obtain user thought to control a machine or device. This technology has regained ability for quadriplegic or in other words a person that lost capability of his four limbs to move by himself again. Within the past years, many researchers have come out with a new method and investigation to develop a machine that can fulfill the objective for quadriplegic patient to move again. Besides that, due to the development of bio-medical and healthcare application, there are several ways that can be used to extract signal from brain. One of them is by using Electroencephalography (EEG). This research is carried out in order to detect the brain signal to controlling the movement of the wheelchair. A group of 5 healthy people will be chosen in order to determine performances of the machine during dynamic focusing activity are to focus on a stimulus. From the result that been collected during experiment, neural network configurations will be implemented to classify the signal. Data collected will be extracted and will be used to set a threshold for the machine to active. As a conclusion, a good neural network configuration and a decent method of extracting EEG signal will lead to give a command to control robotic wheelchair.

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