2018 International Conference on Emerging Trends and Innovations in Engineering and Technological Research (ICETIETR) 2018
DOI: 10.1109/icetietr.2018.8529089
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A Self-Governing Wheelchair for Severely Disabled Patients in an Indoor Environment Utilizing EEG and Laser Technologies

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Cited by 3 publications
(2 citation statements)
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“…The most sophisticated approach to our best knowledge is by McMullan et al [74] embodying computer vision, eye tracking, and ECoG for prosthetic limb movement. Bharali et al [75] proposed an automated wheelchair system for patients with quadriplegia combining EEG and EOG with green laser aiming. Huang et al [72] presented an hBCI based on EEG, EOG, object detection controls and integrated wheelchair robotic arm system with high accuracy.…”
Section: Related Workmentioning
confidence: 99%
“…The most sophisticated approach to our best knowledge is by McMullan et al [74] embodying computer vision, eye tracking, and ECoG for prosthetic limb movement. Bharali et al [75] proposed an automated wheelchair system for patients with quadriplegia combining EEG and EOG with green laser aiming. Huang et al [72] presented an hBCI based on EEG, EOG, object detection controls and integrated wheelchair robotic arm system with high accuracy.…”
Section: Related Workmentioning
confidence: 99%
“…One is the navigation mechanism of EPW, and the other is the robotic arm or manipulator to pick up objects and materials suitable for patients having upper limb locked down syndrome (LDS). The laser assistance with the EEG signals has been introduced in another system for EPW navigation by controlling the laser pointer through EEG [24]. The system supports the user to set the direction of the laser pointer through the EEG signals generated by the brain.…”
Section: Motor Imagery (Mi)mentioning
confidence: 99%