Time Series modeling and analysis of EEG Signal for wheelchair controller using Raspberry PI4
| dc.contributor.author | Asst. Prof. Dr. Naufel Bahjat Mohammed | |
| dc.date.accessioned | 2026-01-02T12:08:38Z | |
| dc.date.issued | 2023-04-10 | |
| dc.description.abstract | This paper discusses a Wheelchair controller based on an EEG signal collected from a person using Mindwave mobile 2 and processed by a Raspberry pi.4. A time series analysis was applied to build a statistical model to control a wheelchair with two DC motors. | |
| dc.format | application/pdf | |
| dc.identifier.uri | https://geniusjournals.org/index.php/ejet/article/view/3861 | |
| dc.identifier.uri | https://asianeducationindex.com/handle/123456789/78681 | |
| dc.language.iso | eng | |
| dc.publisher | Genius Journals | |
| dc.relation | https://geniusjournals.org/index.php/ejet/article/view/3861/3268 | |
| dc.rights | https://creativecommons.org/licenses/by-nc/4.0 | |
| dc.source | Eurasian Journal of Engineering and Technology; Vol. 17 (2023): EJET; 35-43 | |
| dc.source | 2795-7640 | |
| dc.subject | Modelling | |
| dc.subject | EEG Signal | |
| dc.subject | Wheelchair Controller | |
| dc.title | Time Series modeling and analysis of EEG Signal for wheelchair controller using Raspberry PI4 | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | Peer-reviewed Article |
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