Monitoring Human’s Emotion through Fast Fourier Transform Method form Brainwave Features

DOI

10.2991/adics-es-19.2019.8How to use a DOI?

Keywords

emotion detecting, fast fourier transform, electroencephalogram (EEG)

Abstract

Emotions are intrinsic to the way humans are interacting with each other. A human being can understand the emotions of another human being to a certain extent and behave in the best manner to improve the communication in a certain situation however a machine cannot. This paper aims to make an analysis of human emotion from brainwave. Certainly, this paper deals with the detection of emotions using EEG signals and based on the emotion detected. In this project an Electroencephalogram (EEG) headset will be used to record the brain signals of an individual by analyzing his/her brain state and to detect his/her emotions using FFT algorithms. Using EEG-based emotion recognition, the computer can observe the users emotional state. 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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Akbar Muslim
AU  - Anton Yudhana
PY  - 2019/11
DA  - 2019/11
TI  - Monitoring Human’s Emotion through Fast Fourier Transform Method form Brainwave Features
BT  - Proceedings of the 2019 Ahmad Dahlan International Conference Series on Engineering and Science (ADICS-ES 2019)
PB  - Atlantis Press
SP  - 26
EP  - 30
SN  - 2352-5401
UR  - https://doi.org/10.2991/adics-es-19.2019.8
DO  - 10.2991/adics-es-19.2019.8
ID  - Muslim2019/11
ER  -