A SMART BRAIN CONTROLLED WHEELCHAIR BASED MICROCONTROLLER SYSTEM
| dc.contributor.author | Sherif kamel Hussein Hassan Ratib | |
| dc.date.accessioned | 2025-06-18T05:59:44Z | |
| dc.date.issued | 2019-09 | |
| dc.description.abstract | The main objective of this paper is to build Smart Brain Controlled wheelchair (SBCW) intended for patient of Amyotrophic Lateral Sclerosis (ALS). Brain control interface (BCI) gave solutions for a patients having a low rate of data exchange, also by using the BCI the user should have the ability to meditate and tension to let the signal get received. Using the BCI continuously is very much exhausted for the patients, The proposed system is trying to give all handicapped people and ALS patients the simplest way to let them have a life at least near to the normal life. The system will mainly depend on the Electroencephalogram (EEG) signals and also on the Electromyography (EMG) signals to put the system in command and out of command. The system will interface with user through a tablet and it will be secured by sensors and tracking system to avoid any obstacle. Also it is safe and easily built with lower cost compared with other similar system. In addition to that the proposed system provides an easier way for the handicapped or ALS patients to move by a brain controlled wheelchair BCW using the technology of brain computer interface (BCI) based mobile application and with an efficiency reached 85% of success. | |
| dc.identifier.uri | https://research.arabeast.edu.sa/handle/123456789/161 | |
| dc.language.iso | en | |
| dc.publisher | International Journal of Artificial Intelligence & Applications (IJAIA) | |
| dc.title | A SMART BRAIN CONTROLLED WHEELCHAIR BASED MICROCONTROLLER SYSTEM | |
| dc.type | Article |