Lin Y.-T.Kuo C.-H.CHUNG-HSIEN KUO2022-05-242022-05-242016https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974602720&doi=10.1109%2fICIT.2016.7474995&partnerID=40&md5=953505e5df7fa110151adb745514bb79https://scholars.lib.ntu.edu.tw/handle/123456789/611569This paper proposed a SSVEP-based brain-computer interface (BCI) for wheelchair controls. SSVEP is an evoked signal which responds to visual flickering stimuli at a specific frequency. A stimulus panel containing 12, 15, 18 and 28-Hz flickering stimuli was presented in front of users. Each flickering stimulus was used to evoke SSVEP and responded to a particular command for the wheelchair control. The power spectrum densities (PSDs) for the specific frequency bands were analyzed. A target stimuli was triggered when the PSD exceeded a defined threshold. Users were able to drive the wheelchair with forward, stop, left-turn and right-turn commands according to their intentions. Additionally, a reactive navigation scheme based on artificial potential field (APF) approach was implemented to improve the security of the proposed system. A laser scanner was outfitted for obstacle detections. The proposed wheelchair system is expected to provide a convenient, safe and comfortable mobile assistance to users suffering spinal cord injuries (SCIs). ? 2016 IEEE.Air navigationFlickeringFrequency bandsInterfaces (computer)Obstacle detectorsWheelchairsArtificial potential fieldsIntelligent wheelchairPower spectrum densityReactive navigationReactive obstacle avoidanceSpecific frequenciesSpinal cord injuries (SCI)SSVEPBrain computer interfaceDevelopment of SSVEP-based intelligent wheelchair brain computer interface assisted by reactive obstacle avoidanceconference paper10.1109/ICIT.2016.74749952-s2.0-84974602720