2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) 2018
DOI: 10.1109/i2mtc.2018.8409632
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An SSVEP based brain computer interface system to control electric wheelchairs

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Cited by 39 publications
(19 citation statements)
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“…On the other hand, the work indicated by Mistry et al (2018) adds proximity sensors to the wheelchair to provide a way to prevent collisions; if sensors detect an obstacle at a distance of 50 cm or less, then the movement of the wheelchair to such direction is not performed. The system processes the SSVEP signals generated by the stimuli of 4 frequencies (7 Hz turn left, 9 Hz go forward, 11 Hz turn right and 13 Hz go back) by means of Fourier transforms and SNR classification.…”
Section: Review Of Eeg-ssvep Applicationmentioning
confidence: 99%
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“…On the other hand, the work indicated by Mistry et al (2018) adds proximity sensors to the wheelchair to provide a way to prevent collisions; if sensors detect an obstacle at a distance of 50 cm or less, then the movement of the wheelchair to such direction is not performed. The system processes the SSVEP signals generated by the stimuli of 4 frequencies (7 Hz turn left, 9 Hz go forward, 11 Hz turn right and 13 Hz go back) by means of Fourier transforms and SNR classification.…”
Section: Review Of Eeg-ssvep Applicationmentioning
confidence: 99%
“…Applicability of SSVEP-based brain-computer interfaces 4 O1, O2, Oz, POz for robot navigation in real environments Lee et al (2012) A brain-wave-actuated small robot car using ensemble empirical mode decomposition-based approach 1 Oz Li et al (2018) A human-vehicle collaborative simulated driving system based 13 T7, T8, P7, P8, FC3, FC4, on hybrid brain-computer interfaces and computer vision C3, C4, CP3, CP4, P3, P4, Oz Liu et al (2018) Design of a video feedback SSVEP-BCI system for car control based on improved MUSIC method 3 O1, Oz, O2 Turnip et al (2016) An application of online ANFIS classifier for wheelchair based brain computer interface 3 O1, O2, Pz Wang et al (2018) A Wearable SSVEP-Based BCI System for quadcopter Control Using Head-Mounted Device 6 PO3, PO4, O1, O2, C5, C6 Mistry et al (2018) An SSVEP based brain computer interface system to control electric wheelchairs 6 P3, Pz, P4, O1, Oz, O2 Nakanishi et al (2017) Enhancing detection of SSVEPs for a high-speed brain 10 Pz, PO5, PO3, POz, PO4, speller using task-related component analysis PO6, O1, Oz, O2, Cz Pelayo et al (2018) Brain-Computer Interface Controlled Robotic Arm to Improve 6 Not specified Quality of Life Peng et al (2016) Control of a nursing bed based on a hybrid brain-computer interface 8 P7, P3, Pz, P4, P8, O1, Oz, O2 Perera et al (2016) EEG-controlled meal assistance robot with camera-based automatic 8 O1, O2, POz, PO3, PO4, mouth position tracking and mouth open detection C1, C2, C3 Perera et al (2017) SSVEP Based BMI for a meal assistance robot 8 O1, O2, POz, PO3, PO4, C1, C2, C3 Zhao et al (2017) A SSVEP intelligent home service system based on CCA Not specified Not specified Ruhunage et al (2017) EMG signal controlled transhumeral prosthetic with 2 POz, Oz EEG-SSVEP based approach for hand open/close Savic and Popovic (2015) Brain computer interface prototypes for upper limb 3 C3, Oz, Cz Rehabilitation: a review of principles and experimental results 2017Brain-computer interface based stochastic navigation and control 4 PZ, O1, Oz, O2 of a semiautonomous mobile robot in an indoor environment Virdi et al (2017) Home automation control system implementation using 8 PO7, PO3, PO4, POz, PO8, SSVEP based brain-computer interface O1, O2, Oz Zhang et al (2016) A hybrid EEG-based BCI for robot grasp controlling 8 P7, P3, Pz, P4, P8, O1, Oz, O2 Won et al 2014A BCI Speller based on SSVEP using high frequency stimuli design 15 P5, P3, P1, Pz, P2, P4, P6, PO7, PO3, POz, PO4, PO8, O1, Oz, O2 Wu et al 2016A new SSVEP based BCI application on the mobile robot in a maze 4 O1, Oz, O2, Pz game Yang et al (2017) Mind control of a robotic arm with vis...…”
Section: Bci Equipmentmentioning
confidence: 99%
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“…The signals from the brain are conveyed to each organ of the body through the nervous system. Due to neuromuscular disorders including amyotrophic lateral sclerosis (ALS) and locked-in syndrome, the individuals' motor functions are lost [2]. In those instances, the individual cannot communicate with others utilizing any mode of intelligence or expression [3].…”
Section: Introductionmentioning
confidence: 99%