Redwan Ahmed

Work place: Department of Computer Science, Faculty of Science and Technology, American International University – Bangladesh (AIUB)

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Research Interests: Neural Networks, Artificial Intelligence

Biography

Redwan Ahmed Rahul is an undergraduate student of Computer Science and Engineering (CSE) program at the Faculty of Science and Information Technology of American International University-Bangladesh (AIUB). His research interests and passion are mostly based on Convolutional Artificial Neural Networks, Brain Computer Interface, EEG signal processing also included in the field of Computer Vision, Image Processing and Machine Learning.

Author Articles
A Review based on Brain Computer Interaction using EEG Headset for Physically Handicapped People

By A. F. M. Saifuddin Saif MD. Ryhan Hossain Redwan Ahmed Tamanna Chowdhury

DOI: https://doi.org/10.5815/ijeme.2019.02.04, Pub. Date: 8 Mar. 2019

The universes’ most complex structure is the human brain. To analyze its characteristics, many studies and experiments have been carried out in a proper and systematic manner. From these researches and experiments, scientists have learnt to communicate with computer using brain and hence, BCI has been developed. A Brain-Computer Interface (BCI) provides a communication path between the human brain and the computer system. With the advancement of information technology and neuroscience, there has been a flow of interest in turning fiction into reality. This research investigated existing works of BCI with the purpose developing a system that allows physically challenged people to communicate with other persons and helps to interact with the external environments with the help of computers. Components like, comparison of invasive and non-invasive technologies to measure brain activity, evaluation of control signals (i.e. patterns of brain activity or brain waves that can be used for communication), development or improvement of algorithms for translation of brain signals into computer commands, specific frequency components like electroencephalography (EEG), artificial neural network (ANN) etc. are used to accomplish such a feat. With such, the developments of new BCI applications are emerging every day.

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