EEG signals analysis for motor imagery brain computer interface
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
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| Формат: | Дисертація |
| Мова: | English |
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Brac University
2019
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| Онлайн доступ: | http://hdl.handle.net/10361/12780 |
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10361-12780 |
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10361-127802022-01-26T10:15:57Z EEG signals analysis for motor imagery brain computer interface Rahman, La z Maruf Alam, Zawad Rahman, Md. Musta-E-Nur Parvez, Mohammad Zavid Department of Computer Science and Engineering, Brac University EEG BCI MI SVM ANN Signal processing Brain-computer interfaces Human-computer interaction Computational intelligence This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 30-35). A brain{computer interface is a medium for communication which converts neuronal signals into commands towards controlling external system. This thesis presented the process of classifying three motor imagery tasks using EEG signals which can be further evolved into BCI system that can remotely control external devices. Different bands are ltered from EEG signals in order to extract di erent frequency distributed features. These features are used to classify di erent motor imagery tasks based on SVM and ANN. Experimental results show that SVM carried higher accuracy (i.e., 80%) compared to other machine learning algorithms where seven subjects participated in this experiment. La z Maruf Rahman Zawad Alam Md. Musta-E-Nur Rahman B. Computer Science 2019-10-13T06:29:14Z 2019-10-13T06:29:14Z 2019 2019-08 Thesis ID 14201006 ID 15101098 ID 15101089 http://hdl.handle.net/10361/12780 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 35 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
EEG BCI MI SVM ANN Signal processing Brain-computer interfaces Human-computer interaction Computational intelligence |
| spellingShingle |
EEG BCI MI SVM ANN Signal processing Brain-computer interfaces Human-computer interaction Computational intelligence Rahman, La z Maruf Alam, Zawad Rahman, Md. Musta-E-Nur EEG signals analysis for motor imagery brain computer interface |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. |
| author2 |
Parvez, Mohammad Zavid |
| author_facet |
Parvez, Mohammad Zavid Rahman, La z Maruf Alam, Zawad Rahman, Md. Musta-E-Nur |
| format |
Thesis |
| author |
Rahman, La z Maruf Alam, Zawad Rahman, Md. Musta-E-Nur |
| author_sort |
Rahman, La z Maruf |
| title |
EEG signals analysis for motor imagery brain computer interface |
| title_short |
EEG signals analysis for motor imagery brain computer interface |
| title_full |
EEG signals analysis for motor imagery brain computer interface |
| title_fullStr |
EEG signals analysis for motor imagery brain computer interface |
| title_full_unstemmed |
EEG signals analysis for motor imagery brain computer interface |
| title_sort |
eeg signals analysis for motor imagery brain computer interface |
| publisher |
Brac University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/12780 |
| work_keys_str_mv |
AT rahmanlazmaruf eegsignalsanalysisformotorimagerybraincomputerinterface AT alamzawad eegsignalsanalysisformotorimagerybraincomputerinterface AT rahmanmdmustaenur eegsignalsanalysisformotorimagerybraincomputerinterface |
| _version_ |
1814308543678906368 |