Year: 2025
Type: article
Abstract: : Mobility impairment due to neurological disorders, spinal cord injuries, or muscular dystrophy significantly affects an individual’s independence and quality of life. Conventional wheelchairs, which relyonmanual operationor joystick controls, maynotbesuitableforuserswith severedisabilitieswholackthe required motor functions. To address this challenge, this project presents an EEG and head movement-controlled wheelchair, whichprovidesahands-free and intelligentmobilitysolution.The proposed system integrates brainwave (EEG) signals to detectthe user’s consciousness and head movements to control the wheelchair’s direction. The dual-input approach ensures that userswith varyingdegreesofmotorimpairmentcanoperate the wheelchair without physical effort. Additionally, an obstacle detection system enhances safety by preventing collisions. The fusionofbrainwave analysis,motionsensing,andintelligentnav- igation makes this system a significant advancement in assistive mobility technology. The system has been tested for accuracy, safety, and real-time response
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4408906669