Electroencephalogram (EEG) Based Imagined Speech Decoding and Recognition

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dc.contributor.authorSaminu, Sani
dc.contributor.authorGuizhi, Xu
dc.contributor.authorZhang, Shuai
dc.contributor.authorIsselmou, Abd El Kader
dc.contributor.authorJabire, Adamu Halilu
dc.contributor.authorKaraye, Ibrahim Abdullahi
dc.contributor.authorAhmad, Isah Salim
dc.contributor.authorAbdulkarim, Abubakar
dc.date.accessioned2022-01-10T11:28:13Z
dc.date.available2022-01-10T11:28:13Z
dc.date.issued2021-05-25
dc.description.abstractĉe recent investigations and advances in imagined speech decoding and recognition has tremendously improved the decoding of speech directly from brain activity with the help of several neuroimaging techniques that assist us in exploring the neurological processes of imagined speech. ĉis development leads to assist people with disabilities to beneėt from neuroprosthetic devices that improve the life of those suffering from neurological disorders. ĉis paper presents the summary of recent progress in decoding imagined speech using Electroenceplography (EEG) signal, as this neuroimaging method enable us to monitor brain activity with high temporal resolution, it is very portable, low cost, and safer as compared to other methods. ĉerefore, it is a good candidate in investigating an imagined speech decoding from the human cortex which remains a challenging task. ĉe paper also reviews some recent techniques, challenges, future recommendations and possible solutions to improve prosthetic devices and the development of brain computer interface system (BCI).en_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/7307
dc.language.isoenen_US
dc.publisherinstitution of Applied Materials and Technology Society with the cooperation of Faculty of Engineering, Universitas Riau, Pekanbaru, Indonesiaen_US
dc.subjectEEGen_US
dc.subjectImagined speechen_US
dc.subjectDecodingen_US
dc.subjectRecognitionen_US
dc.subjectBCIen_US
dc.subjectNeuroprosthetic deviceen_US
dc.titleElectroencephalogram (EEG) Based Imagined Speech Decoding and Recognitionen_US
dc.typeArticleen_US

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