| Autor: |
Ramazan Gokay, Cagla Aydin, Duygun Erol-Barkana, Engin Masazade |
| Přispěvatelé: |
Gokay, R., Masazade, E., Aydin, C., Erol-Barkana, D., Yeditepe Üniversitesi |
| Jazyk: |
angličtina |
| Rok vydání: |
2015 |
| Předmět: |
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| Zdroj: |
MFI |
| Popis: |
In this paper, our goal is to map the psychophysiological signal features obtained from Blood Volume Pulse (BVP) and Skin Conductance (SC) sensors to each subjects emotional state and cognitive load. The psychophysiological signals are collected under tests (Stroop test, math test, and event recall test) targeting different levels of emotional state and cognitive load. We use the SC and BVP features as skin conductance response (SCR), heart rate (HR), and the spectral power in the low frequency (LF) band of the heart rate variability (HRV) spectrum for emotional state and cognitive load analysis. Our results show that HR and SCR are indicative features for determining the emotional state, and LF and SCR are indicative features for determining the cognitive load. © 2015 IEEE. IEEE International Conference on Multisensor Fusion and lntegration for Intelligent Systems, MFI 2015 -- 14 September 2015 through 16 September 2015 -- -- 117305 |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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