Time Series modeling and analysis of EEG Signal for wheelchair controller using Raspberry PI4

dc.contributor.authorAsst. Prof. Dr. Naufel Bahjat Mohammed
dc.date.accessioned2026-01-02T12:08:38Z
dc.date.issued2023-04-10
dc.description.abstractThis 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.
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dc.identifier.urihttps://geniusjournals.org/index.php/ejet/article/view/3861
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/78681
dc.language.isoeng
dc.publisherGenius Journals
dc.relationhttps://geniusjournals.org/index.php/ejet/article/view/3861/3268
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceEurasian Journal of Engineering and Technology; Vol. 17 (2023): EJET; 35-43
dc.source2795-7640
dc.subjectModelling
dc.subjectEEG Signal
dc.subjectWheelchair Controller
dc.titleTime Series modeling and analysis of EEG Signal for wheelchair controller using Raspberry PI4
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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