Abstract
This study aims to demonstrate the interaction between the human being and the machine through a neural pattern recognizing interface, namely Emotiv EPOC, and a robotic device made by Arduino. The union of these technologies is assessed in specific tests, seeking a usable and stable binding with the smallest possible rate of error, based on a study of how the human electrical synapses are produced and captured by the electroencephalogram device, through examples of projects that achieved success using these technologies. In this study, the whole configuration of the software used to bind these technologies, as well as how they work, is explained, and the result of the experiments through an analysis of the tests performed is addressed. The difference in the results between genders and the influence of user feedback, as well as the accuracy of the technologies, are explained during the analysis of the data captured.
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Reder, E.E., de Quadros Martins, A.R., Ferreira, V.R.T., Kalil, F. (2014). Neural Interface Emotiv EPOC and Arduino: Brain-Computer Interaction in a Proof of Concept. In: Kurosu, M. (eds) Human-Computer Interaction. Advanced Interaction Modalities and Techniques. HCI 2014. Lecture Notes in Computer Science, vol 8511. Springer, Cham. https://doi.org/10.1007/978-3-319-07230-2_58
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DOI: https://doi.org/10.1007/978-3-319-07230-2_58
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07229-6
Online ISBN: 978-3-319-07230-2
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