Development of a brain-computer interface (BCI) for person with disabilities to control their wheelchair using brain waves
| bracu.type.group | Research Publications | |
| datacite.rights | Metadata Only | |
| dc.contributor.author | Rafid, S.K. Tahmed Salim | |
| dc.contributor.author | Miazee, Redwan Ahmed | |
| dc.contributor.author | Byzid, Md Kutubuddin | |
| dc.contributor.author | Anika, Afsana Anjum | |
| dc.contributor.author | Hossain, Syed Shakawat | |
| dc.contributor.author | Malek Azad, A.K.M. Abdul | |
| dc.contributor.department | Department of Electrical and Electronic Engineering | |
| dc.date.accessioned | 2026-08-15T12:25:01Z | |
| dc.date.available | 2026-08-15T12:25:01Z | |
| dc.date.issued | 2023-01-01 | |
| dc.description.abstract | Brain Computer Interface (BCI) is a system that identifies the functional intent, to interact with the surrounding environment, from the neuro-electric activity in the brain. This paper uses the BrainSense device, an EEG acquisitor, to acquire brain activity data from eye blink patterns. These are then processed and classified into different labels used as movement instructions for motors. The intention of this study is to develop a BCI system that allows quadriplegic individuals to operate a wheelchair without the need for physical/manual labor. Performance metrics include the accuracy between intended and translated execution. From the conducted study the developed wheelchair's performance significantly improved to 97.22% with 30 minutes of training prior to usage. The proposed system can have a long lasting impact on the healthcare industry in Bangladesh by aiding and enhancing the lives of people with disabilities. | |
| dc.description.version | Published | |
| dc.format.extent | 715-720 | |
| dc.identifier.citation | S. T. Salim Rafid, R. A. Miazee, M. K. Byzid, A. A. Anika, S. S. Hossain and A. A. Malek Azad, "Development of a Brain-Computer Interface (BCI) for Person with Disabilities to Control Their Wheelchair Using Brain Waves," 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), Rajkot, India, 2023, pp. 715-720, doi: 10.1109/R10-HTC57504.2023.10461776. | |
| dc.identifier.doi | 10.1109/R10-HTC57504.2023.10461776 | |
| dc.identifier.isbn | 9798350326147 | |
| dc.identifier.issn | 25727621 | |
| dc.identifier.other | 2-s2.0-85189496381 | |
| dc.identifier.uri | https://hdl.handle.net/10361/29085 | |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.hasversion | 10.1109/R10-HTC57504.2023.10461776 | |
| dc.relation.ispartof | IEEE Region 10 Humanitarian Technology Conference R10 Htc | |
| dc.relation.ispartofseries | IEEE Region 10 Humanitarian Technology Conference R10 Htc | |
| dc.relation.uri | https://ieeexplore.ieee.org/document/10461776 | |
| dc.rights | false | |
| dc.subject | Brain computer interface | |
| dc.subject | EEG signal | |
| dc.subject | Eye blink | |
| dc.subject | Modified wheelchair | |
| dc.subject.lcsh | Brain-computer interfaces. | |
| dc.subject.lcsh | Electroencephalography. | |
| dc.subject.lcsh | Computer communication systems. | |
| dc.title | Development of a brain-computer interface (BCI) for person with disabilities to control their wheelchair using brain waves | |
| dc.type | Conference Proceeding | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | Centre for the Rehabilitation of the Paralyzed (CRP) | |
| person.affiliation.name | BRAC University | |
| person.identifier.scopus-author-id | 58931417700 | |
| person.identifier.scopus-author-id | 58972857700 | |
| person.identifier.scopus-author-id | 58972001500 | |
| person.identifier.scopus-author-id | 58971576600 | |
| person.identifier.scopus-author-id | 58972209200 | |
| person.identifier.scopus-author-id | 57219987453 |