Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mokhles M. Abdulghani"'
Publikováno v:
IEEE Access, Vol 12, Pp 147929-147941 (2024)
Speech involves the synchronization of the brain and the oral articulators. Inner speech, also known as imagined speech or covert speech, refers to thinking in the form of sound without intentional movement of the lips, tongue, or hands. Decoding hum
Externí odkaz:
https://doaj.org/article/3d916a0711464a77b59835d8b0436d5c
Publikováno v:
Bioengineering, Vol 10, Iss 6, p 649 (2023)
In this paper, we propose an imagined speech-based brain wave pattern recognition using deep learning. Multiple features were extracted concurrently from eight-channel electroencephalography (EEG) signals. To obtain classifiable EEG data with fewer s
Externí odkaz:
https://doaj.org/article/f0d1801408cd4b179e4a4896b4cb98f8
Publikováno v:
Sensors, Vol 20, Iss 10, p 2872 (2020)
Autonomous wheelchairs are important tools to enhance the mobility of people with disabilities. Advances in computer and wireless communication technologies have contributed to the provision of smart wheelchairs to suit the needs of the disabled pers
Externí odkaz:
https://doaj.org/article/e45f5b11d4e444e88d7c8e81d7179473
Autor:
Christopher C. Rosser, Wilbur L. Walters, Abdulghani M. Abdulghani, Mokhles M. Abdulghani, Khalid H. Abed
Publikováno v:
Journal on Artificial Intelligence. 4:261-277
Publikováno v:
2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS).
Publikováno v:
Smart Sensors, Measurement and Instrumentation ISBN: 9783030712204
The chapter deals with the use of soft computing techniques in solving the mobility problems of physically handicapped people using available signals such as face directional gesture, voice, brain and electromyogram (EMG) signals. These signals, depe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b62fa97579416e1aa7050e7f4954ff06
https://doi.org/10.1007/978-3-030-71221-1_11
https://doi.org/10.1007/978-3-030-71221-1_11
Autor:
Kasim Al-Aubidy, Mokhles M. Abdulghani
Publikováno v:
DeSE
The design and implementation of a real-time computer control of an electric wheelchair for physically disabled people is presented. This design is based on brain-computer interface that receives and processes the electroencephalographic (EEG) signal
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 2872, p 2872 (2020)
Sensors
Volume 20
Issue 10
Sensors, Vol 20, Iss 2872, p 2872 (2020)
Sensors
Volume 20
Issue 10
Autonomous wheelchairs are important tools to enhance the mobility of people with disabilities. Advances in computer and wireless communication technologies have contributed to the provision of smart wheelchairs to suit the needs of the disabled pers