TY  - JOUR
AU  - Suto, Jozsef
AU  - Oniga, Stefan
PY  - 2018/08/20
Y2  - 2025/01/01
TI  - Music Stimuli Recognition in Electroencephalogram Signal
JF  - Elektronika ir Elektrotechnika
JA  - ELEKTRON ELEKTROTECH
VL  - 24
IS  - 4
SE  - 
DO  - 10.5755/j01.eie.24.4.21482
UR  - https://eejournal.ktu.lt/index.php/elt/article/view/21482
SP  - 68-71
AB  - &lt;p&gt;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.&lt;/p&gt;&lt;p&gt;DOI: &lt;a href=&quot;http://dx.doi.org/10.5755/j01.eie.24.4.21482&quot;&gt;http://dx.doi.org/10.5755/j01.eie.24.4.21482&lt;/a&gt;&lt;/p&gt;
ER  -