MONITORING HUMAN'S EMOTION USING FAST FOURIER TRANSFORM METHOD FROM BRAINWAVE FEATURES

Yudhana, Anton and Karas, Ismail and Ali Akbar, Son and Muslim, Akbar (2019) MONITORING HUMAN'S EMOTION USING FAST FOURIER TRANSFORM METHOD FROM BRAINWAVE FEATURES. In: International Conference Informatics, Multimedia, Cyber and Information System (ICIMCIS).

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Abstract

Abstract - Emotions are characteristic of how people are associating with one another. An individual can comprehend the Emotion of another person somewhat and carry on in the best way to improve the correspondence in a specific circumstance anyway a machine can't. This paper aims to analyze the human emotion through from brainwave signal by using Electroencephalogram (EEG) signal. Indeed, this paper deals with the monitoring of emotions using EEG signals using Fast Fourier Transform (FFT) algorithm to experimental the Electroencephalogram (EEG) Based on the Neurosky headset. As a result, this will help to improve users knowing his mental state accurately. This kind of emotion analysis system will have widespread potential applications in future environments. The result of research has displayed and compared frequency stimulus of the sad and the focus emotions in situation diversity
Keywords: Emotion; Electroencephalography (EEG); Fast Fourier Transform

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > T Technology (General)
Divisi / Prodi:	Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Electrical Engineering (S1-Teknik Elektro)
Depositing User:	Devi Widyandari
Date Deposited:	14 Nov 2019 07:16
Last Modified:	14 Nov 2019 07:16
URI:	http://eprints.uad.ac.id/id/eprint/15743

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