Özet
Physiological signals are generated autonomously by central nervous system therefore they cannot be controlled or masked. In the literature, physiological signals are commonly used for emotion recognition. In this study, emotional stimulation is induced using visual and audio stimuli. We used Microsoft Band 2 arm band and Mind Wave EEG sensor for recording the participants' signals during the experiment. We collected data from 20 participants and recognized their emotions on the valence-arousal scale. We tested and compared 3 different classifiers for recognition.
| Tercüme edilen katkı başlığı | Emotion recognition in valence-arousal scale by using physiological signals |
|---|---|
| Orijinal dil | Türkçe |
| Ana bilgisayar yayını başlığı | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 1-4 |
| Sayfa sayısı | 4 |
| ISBN (Elektronik) | 9781538615010 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 5 Tem 2018 |
| Etkinlik | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Süre: 2 May 2018 → 5 May 2018 |
Yayın serisi
| Adı | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 |
|---|
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| ???event.eventtypes.event.conference??? | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 |
|---|---|
| Ülke/Bölge | Turkey |
| Şehir | Izmir |
| Periyot | 2/05/18 → 5/05/18 |
Bibliyografik not
Publisher Copyright:© 2018 IEEE.
Keywords
- EEG
- Emotion recognition
- Heart rate
- Signal processing
- Valence-arousal
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