Estimating Range and Relationship of EEG Frequency Bands for Emotion Recognition | Zendy

Leena Bhole | Zendy; Maya Ingle | Zendy

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Estimating Range and Relationship of EEG Frequency Bands for Emotion Recognition

Author(s) -

Leena Bhole,

Maya Ingle

Publication year - 2019

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2019918896

Subject(s) - computer science , range (aeronautics) , electroencephalography , speech recognition , emotion recognition , artificial intelligence , pattern recognition (psychology) , neuroscience , psychology , materials science , composite material

EEG based emotion recognition is the most significant technique to identify human emotions effectively. An attempt is made to identify range of frequency bands for each discrete emotion using frequency band analysis of EEG signals. Each frequency band is associated with relative power values. These relative power values assist to estimate range for frequency bands. The results are evaluated for absolute and relative power values of EEG signal in each frequency band. Further, Bayesian network is constructed to represent relationship between frequency bands and emotion. As a result, theta and alpha bands found to be more active than beta and gamma.

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