EMOTION RECOGNITION IN HUMAN BEINGS BY USING ECG SIGNALS AND HILBERT-HUANG TRANSFORM

Authors

  • Gaurav Tiwari Sheetesh Sad Hemant Birla Author

Keywords:

Electrocardiogram, emotion recognition, empirical mode decomposition, Hilbert-haung transform, intrinsic mode function, instantaneous frequency, local oscillation

Abstract

Emotion is repeatedly defined as a difficult state of feeling that results in substantial and psychological changes that influence thought and behavior. Emotion modeling and detection has drawn wide attention from disciplines such as psychology, cognitive science and engineering. The purpose of this planned work is to recognize the emotional states of human body using ECG signals, which could transform applications in medicine, entertainment, education, safety etc. A solution based on empirical mode decomposition (EMD) is projected for the discovery of dynamically evolving emotion patterns on ECG. Cataloging features are based on the immediate frequency and the local oscillation within every mode. The proposed system uses the fast Fourier transform to remove the noise from the synthetic generated ECG signal and therefore the emotional states were identified efficiently

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Published

2014-03-15

Issue

Section

Articles

How to Cite

EMOTION RECOGNITION IN HUMAN BEINGS BY USING ECG SIGNALS AND HILBERT-HUANG TRANSFORM . (2014). Global Journal of Advanced Engineering Technologies and Sciences, 1(3), 1-5. https://gjaets.com/index.php/gjaets/article/view/322

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