Abstract
Mind Wandering (MW) is the recurrent occurrence in which our mind gets disengaged from the immediate task and focused on internal trains of thought. MW can have both good as well as detrimental effects. Hence, it is crucial to measure MW. This interesting phenomenon and part of our daily life can be effectively measured using EEG signals. Several techniques that have been used to predict MW. However, literature shows that there are still chances of further improvement in this field. 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 EEG channels. We evaluate the performance of our proposed framework using 19 sessions of two subjects. The accuracy of the proposed framework is higher than the other researches under this field that indicates the superiority of our proposed framework.
Original language | English |
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Title of host publication | IEEE Region 10 Symposium (TENSYMP) 2020 |
Publisher | IEEE Xplore |
Pages | 1474-1477 |
Number of pages | 4 |
ISBN (Electronic) | 9781728173665 |
ISBN (Print) | 9781728173672 (Print on demand) |
DOIs | |
Publication status | Published - 02 Nov 2020 |
Event | IEEE Region 10 Symposium 2020: TENSYMP 2020 - Hotel Pan Pacific Sonargaon Dhaka, Dhaka, Bangladesh Duration: 05 Jun 2020 → 07 Jun 2020 http://tensymp2020.com/ https://ieeexplore.ieee.org/xpl/conhome/9230456/proceeding (proceedings) |
Other
Other | IEEE Region 10 Symposium 2020 |
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Abbreviated title | Technology for Impactful Sustainable Development |
Country/Territory | Bangladesh |
City | Dhaka |
Period | 05/06/20 → 07/06/20 |
Other | IEEE Region 10 Symposium (TENSYMP) 2020 will be held on Hotel Pan Pacific Sonargaon Dhaka, Dhaka, Bangladesh from 05 June to 07 June 2020. This is a prestigious flagship technical conference of IEEE Region 10. The theme of TENSYMP 2020 is “Technology for Impactful Sustainable Development” and its aim is to bring together individuals conducting project and research to achieve the United Nation’s 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure that all people enjoy peace and prosperity. Prospective authors are invited to submit full paper using online paper submission system. There will be best paper awards and a large number of travel grants. All accepted and presented papers will be submitted to IEEE Xplore.® digital library. |
Internet address |