Detection of mind wandering using EEG signals
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020.
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| Taal: | English |
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Brac University
2020
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| Online toegang: | http://hdl.handle.net/10361/13835 |
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10361-13835 |
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10361-138352022-01-26T10:10:23Z Detection of mind wandering using EEG signals Tasika, Nadia Jebin Alam, Salwa Rimo, Mohsena Begum Haque, Mohtasim Al Haque, Mohammad Hasibul Parvez, Mohammad Zavid Rahman, Md Anisur Department of Computer Science and Engineering, Brac University Electroencephalogram (EEG) MindWandering (MW) Support Vector Machine (SVM) Brain-computer interfaces Electroencephalography This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 22-27). Mind Wandering (MW) is the recurrent occurrence in which our mind gets disengaged from the immediate task and focused on internal trains of thought. In terms of intelligent interfaces MW can both have good as well as detrimental e ects; hence it is crucial to measure MW. This interesting phenomenon and part of our daily life can be e ectively measured using electroencephalogram (EEG) Signals. There are several techniques that have been used to predict MW however; literature review shows that there are still chances of further improvement in this eld. Therefore, in this paper we proposed a framework based on data mining and machine learning to detect MW using EEG signals. In our framework, we extracted a number of features from 64 internal EEG channels. We evaluate the performance of our proposed framework using 2 subjects with total of 19 sessions. The prediction accuracy of the proposed framework is higher than the other researches under this field that indicates the superiority of our proposed framework and efficiency of the data. Nadia Jebin Tasika Salwa Alam Mohsena Begum Rimo Mohtasim AL Haque B. Computer Science 2020-03-08T05:48:25Z 2020-03-08T05:48:25Z 2020 2020-01 Thesis ID 15301106 ID 15101071 ID 15301009 ID 13301082 ID 13301047 http://hdl.handle.net/10361/13835 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. 27 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Electroencephalogram (EEG) MindWandering (MW) Support Vector Machine (SVM) Brain-computer interfaces Electroencephalography |
| spellingShingle |
Electroencephalogram (EEG) MindWandering (MW) Support Vector Machine (SVM) Brain-computer interfaces Electroencephalography Tasika, Nadia Jebin Alam, Salwa Rimo, Mohsena Begum Haque, Mohtasim Al Haque, Mohammad Hasibul Detection of mind wandering using EEG signals |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020. |
| author2 |
Parvez, Mohammad Zavid |
| author_facet |
Parvez, Mohammad Zavid Tasika, Nadia Jebin Alam, Salwa Rimo, Mohsena Begum Haque, Mohtasim Al Haque, Mohammad Hasibul |
| format |
Thesis |
| author |
Tasika, Nadia Jebin Alam, Salwa Rimo, Mohsena Begum Haque, Mohtasim Al Haque, Mohammad Hasibul |
| author_sort |
Tasika, Nadia Jebin |
| title |
Detection of mind wandering using EEG signals |
| title_short |
Detection of mind wandering using EEG signals |
| title_full |
Detection of mind wandering using EEG signals |
| title_fullStr |
Detection of mind wandering using EEG signals |
| title_full_unstemmed |
Detection of mind wandering using EEG signals |
| title_sort |
detection of mind wandering using eeg signals |
| publisher |
Brac University |
| publishDate |
2020 |
| url |
http://hdl.handle.net/10361/13835 |
| work_keys_str_mv |
AT tasikanadiajebin detectionofmindwanderingusingeegsignals AT alamsalwa detectionofmindwanderingusingeegsignals AT rimomohsenabegum detectionofmindwanderingusingeegsignals AT haquemohtasimal detectionofmindwanderingusingeegsignals AT haquemohammadhasibul detectionofmindwanderingusingeegsignals |
| _version_ |
1814307639369138176 |