Recognizing Human Emotion patterns by applying Fast Fourier Transform based on Brainwave Features
Yazarlar (8)
Anton Yudhana
Universitas Ahmad Dahlan, Endonezya
Universitas Ahmad Dahlan, Endonezya
Subhas Mukhopadhyay
Macquarie University, Avustralya
Macquarie University, Avustralya
Prof. Dr. İsmail Rakıp KARAŞ Karabük Üniversitesi, Türkiye
Ahmad Azhari
Universitas Ahmad Dahlan, Endonezya
Universitas Ahmad Dahlan, Endonezya
Murein Miksa Mardhia
Universitas Ahmad Dahlan, Endonezya
Universitas Ahmad Dahlan, Endonezya
Son Ali Akbar
Universitas Ahmad Dahlan, Endonezya
Universitas Ahmad Dahlan, Endonezya
Akbar Muslim
Universitas Ahmad Dahlan, Endonezya
Universitas Ahmad Dahlan, Endonezya
Fathia Irbati Ammatulloh
Universitas Ahmad Dahlan, Endonezya
Universitas Ahmad Dahlan, Endonezya
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Web of Science Kapsamındaki Kongre/Sempozyum | ||
| DOI Numarası | 10.1109/ICIMCIS48181.2019.8985227 | ||
| Kongre Adı | 1st International Conference Informatics, Multimedia, Cyber and Information System | ||
| Kongre Tarihi | 24-10-2019 / | ||
| Basıldığı Ülke | Endonezya | Basıldığı Şehir | Jakarta |
| Bildiri Linki | https://ieeexplore.ieee.org/document/8985227 | ||
| UAK Araştırma Alanları |
Görüntü İşleme
Bilgi Sistemleri
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| Özet |
| The natural ability of humans to receive messages from the surrounding environment can be obtained through the senses. The senses will respond to stimuli received in various conditions including emotional conditions. Psychologically, recognizing human emotions directly can be assessed from several criteria, such as facial expressions, sounds, or body movements. This research aims to analyze human emotions from the biomedical side through brainwave signals using EEG sensors. The EEG signal obtained will be extracted using Fast Fourier Transform and first-order statistical features. Monitoring of EEG Signals is obtained by grouping based on four emotional conditions (normal, focus, sadness and shock emotions). The results of this research are expected to help improve users in knowing their mental state accurately. The development of this kind of emotional analysis has the potential to create wide … |
| Anahtar Kelimeler |
| Brainwave | Electroencephalography (EEG) | Emotion | Fast Fourier Transform (FFT) |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 2 |
| Scopus | 7 |
| Google Scholar | 17 |