Controlling a Robotic Arm by Brainwaves and Eye Movement

Abstract : This paper proposes two paradigms for controlling a robotic arm by integrating Electrooculography (EOG) and Electroencephalography (EEG) recording techniques. The purpose of our study is to develop a feasible paradigm for helping disabled persons with their every-day needs. Using EOG, the robotic arm is placed at a desired location and, by EEG, the end-effector is controlled for grasping the object from the selected location. Simple algorithms were implemented for detecting electrophysiological signals like eye saccades, blinking and eye closure events. Preliminary results of this study are presented and compared.
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Communication dans un congrès
Luis M. Camarinha-Matos. 2nd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2011, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-349, pp.157-164, 2011, Technological Innovation for Sustainability. 〈10.1007/978-3-642-19170-1_17〉
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Cristian-Cezar Postelnicu, Doru Talaba, Madalina-Ioana Toma. Controlling a Robotic Arm by Brainwaves and Eye Movement. Luis M. Camarinha-Matos. 2nd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2011, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-349, pp.157-164, 2011, Technological Innovation for Sustainability. 〈10.1007/978-3-642-19170-1_17〉. 〈hal-01566543〉

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