Abstract
The intention of this work is to propose and develop a Brain-Computer Interface solution for people with movement disabilities. The proposed solution will read, monitor and translate brainwaves generated from the Central Nervous System of a person with movement disabilities to replace/rehabilitate his/her natural movements or for allowing him/her to control different devices such as household appliances. The brainwaves used in this work are those produced when a person blinks. We have selected the blinks’ related brainwaves since most of the people with movement disabilities (even the most serious) can do this kind of movements. The prototype of the proposed solution created in this work uses a control mechanism based on the raw electroencephalography data extracted from a MUSE headband for manipulating real life household appliances connected to an Arduino system. Experimental results indicated that people with limited training process were capable to use the prototype with manageable level of error.
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Acknowledgments
The authors would like to thank to Corporación Ecuatoriana para el Desarrollo de la Investigación y Academia - CEDIA for the financial support given to the present research, development, and innovation work through its GT program, especially for the IoT and Smart Cities GT fund.
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Poveda Zavala, S., León Bayas, J.L., Ulloa, A., Sulca, J., Murillo López, J.L., Yoo, S.G. (2019). Brain Computer Interface Application for People with Movement Disabilities. In: Tang, Y., Zu, Q., Rodríguez García, J. (eds) Human Centered Computing. HCC 2018. Lecture Notes in Computer Science(), vol 11354. Springer, Cham. https://doi.org/10.1007/978-3-030-15127-0_4
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