@article{Suto_Oniga_2018, title={Music Stimuli Recognition in Electroencephalogram Signal}, volume={24}, url={https://eejournal.ktu.lt/index.php/elt/article/view/21482}, DOI={10.5755/j01.eie.24.4.21482}, abstractNote={<p>When humans are listening to music they perceive beats, rhythms and melodies. Music stimuli induce motor system activities and it has a powerful emotion trigger effect. Since music is a potential stimulus in electroencephalogram based emotion research we supposed that different kinds of songs are recognizable from electroencephalogram signal. In this study we try to recognize music-induced electroencephalogram responses with the popular Neurosky Mindwave device. This paper describes the test conditions and the efficiency of an artificial neural network in combination with different data pre-processing techniques. The final outcomes show the negative effect of frequency decomposition and that the meditation level has more significant effect on the recognition than a particular song.</p><p>DOI: <a href="http://dx.doi.org/10.5755/j01.eie.24.4.21482">http://dx.doi.org/10.5755/j01.eie.24.4.21482</a></p>}, number={4}, journal={Elektronika ir Elektrotechnika}, author={Suto, Jozsef and Oniga, Stefan}, year={2018}, month={Aug.}, pages={68-71} }