Emotion Detection in Human Beings Using ECG Signals

Baby shalini T; Vanitha L

doi:https://doi.org/10.14445/22315381/IJETT-V4I5P5

Research Article | Open Access | Download PDF

Volume 4 | Issue 5 | Year 2013 | Article Id. IJETT-V4I5P5 | DOI : https://doi.org/10.14445/22315381/IJETT-V4I5P5

Emotion Detection in Human Beings Using ECG Signals

Baby shalini T , Vanitha L

Citation :

Baby shalini T , Vanitha L, "Emotion Detection in Human Beings Using ECG Signals," International Journal of Engineering Trends and Technology (IJETT), vol. 4, no. 5, pp. 1337-1342, 2013. Crossref, https://doi.org/10.14445/22315381/IJETT-V4I5P5

Abstract

Emotion is often defined as a complex state of feeling that results in physical and psychological changes that influenc e thought and behavior. Emotion modeling and recognition has drawn extensive attention from disciplines such as psychology, cognitive science and engineering. The objective of this proposed work is to identify the emotional states of human body using ECG signals, which could revolutionize applications in medicine, entertainment, education, safety etc. A solution based on empirical mode decomposition is proposed for the detection of dynamically evolving emotion patterns on ECG. Classification features are ba sed on the instantaneous 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

Keywords

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

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