“School of Cognitive Sciences”
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| Paper IPM / Cognitive Sciences / 13394 |
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| Abstract: | |||||||
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Decoding and classification of objects through
task-oriented electroencephalographic (EEG) signals are
the most crucial goals of recent researches conducted
mainly for brain-computer interface applications. In this
study we aimed to classify single-trial 12 categories of
recorded EEG signals. Ten subjects participated in this
study. The task was to select target images among 12 basic
object categories including animals, flowers, fruits, transportation
devices, body organs, clothing, food, stationery,
buildings, electronic devices, dolls and jewelry.
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