Paper Title :Classification Of Emotions From Eeg Using K-Nn Classifier
Author :Vaishnavi L. Kaundanya, Anita Patil, Ashish Panat
Article Citation :Vaishnavi L. Kaundanya ,Anita Patil ,Ashish Panat ,
(2015 ) " Classification Of Emotions From Eeg Using K-Nn Classifier " ,
International Journal of Advances in Science, Engineering and Technology(IJASEAT) ,
pp. 103-106,
Volume-3, Issue-2
Abstract : This paper describes a method for automatic classification of different human emotions obtained using
Electroencephalograph (EEG) signals. The human brain is a complex system. The superimposition of the diverse processes
in the brain is recognized through EEG signals. Electroencephalographic measurements are commonly used in medical
applications and in the research areas to study and analyse different disorders in the brain functioning. EEG signals indicate
changes in the state of brain. Data acquisition is done for different emotions with the help of ADinstruments’ power lab
instrument. In this research work, we have collected real life EEG signals using Ground Truth Method. Our proposed system
consists of four steps, viz., Data Acquisition, Pre-processing, Feature extraction and Classification. The subjects were
stimulated for different emotions such as Sad and Happy. The signals are pre-processed and used to calculate statistical
features which will be given to the classifier. The system has been tested on number of subjects who were stimulated for
invoking various emotions.
Keywords— Brain Computer Interfacing, EEG signals Electroencephalography, Emotions, k-NN classifier, Statistical
Features
Type : Research paper
Published : Volume-3, Issue-2
DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-2013
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Copyright: © Institute of Research and Journals
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Published on 2015-04-27 |
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