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Every one of the four wheels are associated with a driving circuit that moves the wheelchair", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0", "start": "2020-07-30", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.1109/embc.2014.6943665", "unstructured": "O. V. Acuña, P. Aqueveque, and E. J. Pino. 2014. Eyetracking capabilities of low-cost EOG system. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL. pp. 610-613" }, { "key": "ref2", "doi": "10.1109/iscas.2014.6865572", "unstructured": "T. R. Pingali et al. 2014. Eye-gesture controlled intelligent wheelchair-using Electro-Oculography. 2014 IEEE International Symposium on Circuits and Systems (ISCAS), Melbourne VIC. pp. 2065-2068" }, { "key": "ref3", "doi": "10.1109/100.924361", "unstructured": "M. Mazo. 2000. An integral system for assisted mobility. 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Face and eye detection in images using skin color segmentation and circular hough transform. 2014 International Conference on Robotics and Emerging Allied Technologies in Engineering (iCREATE), Islamabad. pp. 211-213" }, { "key": "ref7", "doi": "10.1109/cspa.2009.5069224", "unstructured": "W. W. M. Khairosfaizal, A.J Nor'aini. 2009. Eyes detection in facial images using circular hough transform. Signal Processing & Its Applications 2009. CSPA 2009. 5th International Colloquium on. pp. 238-242" }, { "key": "ref8", "unstructured": "Luis A. Rivera, Guilherme N. DeSouza, et al, and Senior member, An Automatic Wheelchair Controlled using Hand Gestures, IEEE, University of Missouri on April 2010" }, { "key": "ref9", "doi": "10.1109/robot.2009.5152580", "unstructured": "Ituratte, J. Antelis, J. Minguez, „Synchronous EEG brain-actuated wheelchair with automated navigation,‟ Kobe, Japan, May 2009" }, { "key": "ref10", "unstructured": "Stiefelhagen, Rainer, Waibel, Alex and Yang, Jie. \"Tracking eyes and monitoring eye gaze.\", Universität Karlsruhe, 2007" }, { "key": "ref11", "doi": "10.1109/iscas.2014.6865572", "unstructured": "Theja Ram Pingali, Sarthak Dubey, Anurag Shivaprasad, Arpit Varshney et al. \"Eye-gesture controlled intelligent wheelchair using Electro- 9 1% 10 1% 11 1% 12 1% 13 1% 14 1% Oculography\", 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014" }, { "key": "ref12", "doi": "10.1109/iciiecs.2015.7192876", "unstructured": "Shyam Narayan Patel, V. Prakash. \"Autonomous camera based eye controlled wheelchair system using raspberry-pi\", 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 W. M. K. 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Face and eye detection in images using skin color segmentation and circular hough transform. 2014 International Conference on Robotics and Emerging Allied Technologies in Engineering (iCREATE), Islamabad. pp. 211-213" }, { "key": "ref7", "doi": "10.1109/cspa.2009.5069224", "unstructured": "W. W. M. Khairosfaizal, A.J Nor'aini. 2009. Eyes detection in facial images using circular hough transform. Signal Processing & Its Applications 2009. CSPA 2009. 5th International Colloquium on. pp. 238-242" }, { "key": "ref8", "unstructured": "Luis A. Rivera, Guilherme N. DeSouza, et al, and Senior member, An Automatic Wheelchair Controlled using Hand Gestures, IEEE, University of Missouri on April 2010" }, { "key": "ref9", "doi": "10.1109/robot.2009.5152580", "unstructured": "Ituratte, J. Antelis, J. 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