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“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 13394
School of Cognitive Sciences
  Title:   Decoding Objects of Basic Categories from Electroencephalographic Signals Using Wavelet Transform and Support Vector Machines
  Author(s): 
1.  M. Taghizadeh-Sarabi
2.  M. Daliri
3.  K. Salehzadeh Niksirat
  Status:   Published
  Journal: Brain Topogr
  Year:  2014
  Supported by:  IPM
  Abstract:
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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