A REVIEW ON EEG CONTROL SMART WHEEL CHAIR
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References
Geng, Tao, John Q. Gan, and Huosheng Hu. "A self-paced online BCI for mobile robot control." International Journal of Advanced Mechatronic Systems 2.1-2 (2010): 28-35.
Pires, Gabriel, Miguel Castelo-Branco, and Urbano Nunes. "Visual P300-based BCI to steer a wheelchair: a Bayesian approach." Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE. IEEE, 2008.
Galán, Ferran, et al. "A brain-actuated wheelchair: asynchronous and non-invasive brain–computer interfaces for continuous control of robots." Clinical Neurophysiology 119.9 (2008): 2159-2169.
Li, Junhua, et al. "Design of assistive wheelchair system directly steered by human thoughts." International journal of neural systems 23.03 (2013): 1350013.
Rebsamen, Brice, et al. "A brain controlled wheelchair to navigate in familiar environments." IEEE Transactions on Neural Systems and Rehabilitation Engineering 18.6 (2010): 590-598.
Shin, Bong-Gun, Taesoo Kim, and Sungho Jo. "Non-invasive brain signal interface for a wheelchair navigation." Control Automation and Systems (ICCAS), 2010 International Conference on. IEEE, 2010
Siswoyo, Agus, Zainal Arief, and Indra Adji Sulistijono. "Application of Artificial Neural Networks in Modeling Direction Wheelchairs Using Neurosky Mindset Mobile (EEG) Device." EMITTER International Journal of Engineering Technology 5.1 (2017): 170-191.
Lin, Jzau-Sheng, Kuo-Chi Chen, and Win-Ching Yang. "EEG and eye-blinking signals through a Brain-Computer Interface based control for electric wheelchairs with wireless scheme." New Trends in Information Science and Service Science (NISS), 2010 4th International Conference on. IEEE, 2010.
Rani, B. Jenita Amali, and A. Umamakeswari. "Electroencephalogram-based brain controlled robotic wheelchair." Indian Journal of Science and Technology 8.S9 (2015): 188-197.
Escolano, Carlos, et al. "A telepresence robotic system operated with a P300-based brain-computer interface: initial tests with ALS patients." Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE. IEEE, 2010.
Barbosa, Alexandre OG, David R. Achanccaray, and Marco A. Meggiolaro. "Activation of a mobile robot through a brain computer interface." Robotics and Automation (ICRA), 2010 IEEE International Conference on. IEEE, 2010.
Gandhi, Vaibhav, et al. "EEG-based mobile robot control through an adaptive brain–robot interface." IEEE Transactions on Systems, Man, and Cybernetics: Systems 44.9 (2014): 1278-1285.
Iturrate, Iñaki, et al. "A noninvasive brain-actuated wheelchair based on a P300 neurophysiological protocol and automated navigation." IEEE Transactions on Robotics 25.3 (2009): 614-627.
Mandel, Christian, et al. "Navigating a smart wheelchair with a brain-computer interface interpreting steady-state visual evoked potentials." Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on. IEEE, 2009.
Sim, Kok Swee, Kho Desmond Teck Kiang, and Lim Zheng You. "EEG Controlled Wheelchair." MATEC Web of Conferences. Vol. 51. EDP Sciences, 2016.
Rebsamen, Brice, et al. "Controlling a wheelchair indoors using thought." IEEE intelligent systems 22.2 (2007).
Li, Yuanqing, et al. "A hybrid BCI system combining P300 and SSVEP and its application to wheelchair control." IEEE Transactions on Biomedical Engineering 60.11 (2013): 3156-3166
Long, Jinyi, et al. "A hybrid brain computer interface to control the direction and speed of a simulated or real wheelchair." IEEE Transactions on Neural Systems and Rehabilitation Engineering 20.5 (2012): 720-729.
Singla, Rajesh, Arun Khosla, and Rameshwar Jha. "Influence of stimuli color on steady-state visual evoked potentials based BCI wheelchair control." Journal of Biomedical Science and Engineering 6.11 (2013): 1050.