1 research outputs found
A Comprehensive Analysis of 2D&3D Video Watching of EEG Signals by Increasing PLSR and SVM Classification Results
Despite the development of two and three dimensional (2D&3D) technology, it
has attracted the attention of researchers in recent years. This research is
done to reveal the detailed effects of 2D in comparison with 3D technology on
the human brain waves. The impact of 2D&3D video watching using
electroencephalography (EEG) brain signals is studied. A group of eight healthy
volunteers with the average age of 31+-3.06 years old participated in this
three-stage test. EEG signal recording consisted of three stages: After a bit
of relaxation (a), a 2D video was displayed (b), the recording of the signal
continued for a short period of time as rest (c), and finally the trial ended.
Exactly the same steps were repeated for the 3D video. Power spectrum density
(PSD) based on short time Fourier transform (STFT) was used to analyze the
brain signals of 2D&3D video viewers. After testing all the EEG frequency
bands, delta and theta were extracted as the features. Partial least squares
regression (PLSR) and Support vector machine (SVM) classification algorithms
were considered in order to classify EEG signals obtained as the result of
2D&3D video watching. Successful classification results were obtained by
selecting the correct combinations of effective channels representing the brain
regions