Electroencephalogram (EEG) Based Imagined Speech Decoding and Recognition

Sani Saminu (State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology Tianjin 300130, China)
Guizhi Xu (State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology Tianjin 300130, China)
Zhang Shuai (State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology Tianjin 300130, China)
Abd El Kader Isselmou (State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology Tianjin 300130, China)
Adamu Halilu Jabire (Electrical and Electronics Department, Taraba State University, Jalingo-Nigeria)
Ibrahim Abdullahi Karaye (State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology Tianjin 300130, China)
Isah Salim Ahmad (State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology Tianjin 300130, China)
Abubakar Abdulkarim (Electrical Engineering Department, Ahmadu Bello University, Zaria-Nigeria)

Journal of Applied Materials and Technology
Vol. 2 No. 2 (2021): March 2021

The 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. This development leads to assist people with disabilities to benefit from neuroprosthetic devices that improve the life of those suffering from neurological disorders. This 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. Therefore, it is a good candidate in investigating an imagined speech decoding from the human cortex which remains a challenging task. The 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).