Abstract
Today still big challenge in world is to find efficient technique for perform recognition on mental tasks and distinguish between them. These allow us to use Brain Computer Interface applications to help disabled people to interact with environment and control external devices such as wheel chair. In this article we used EEG data from National University of Sciences and Technology, Pakistan, which are available online. We made our experiments on signals from one subject performing hand movement task. First we applied Faster Fourier Transformer (FFT), removing the EEG higher frequencies, applying the inverse Fourier transformer then converting EEG data into graphics by turtle graphics, then find the similarity between these trials by Lempel–Ziv complexity, to find maximum similarity between EEG data for same mental task. Our model reached average accuracy up to 52.63%.
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Jahan, I.S., Prilepok, M., Snasel, V. (2014). EEG Data Similarity Using Lempel–Ziv Complexity. In: Zelinka, I., Duy, V., Cha, J. (eds) AETA 2013: Recent Advances in Electrical Engineering and Related Sciences. Lecture Notes in Electrical Engineering, vol 282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41968-3_30
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DOI: https://doi.org/10.1007/978-3-642-41968-3_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41967-6
Online ISBN: 978-3-642-41968-3
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