| Autor: |
Sayeed, Shohel, Mand, Ali Afzalian, Hossen, Jakir, Kassim, Amelia Binti, Pa Pa Min |
| Předmět: |
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| Zdroj: |
Journal of Engineering Science & Technology Review; 2022, Vol. 15 Issue 5, p70-76, 7p |
| Abstrakt: |
A job interview can be challenging and stressful even when one has gone through it many times. Failure to handle the stress may lead to unsuccessful delivery of their best throughout the interview session. Therefore, an alternative method which is preparing a video resume and interview before the actual interview could reduce the level of stress. An intelligent stress detection is proposed to classify individuals with different stress levels by understanding the physiological signal through Electrocardiogram (ECG). The main purpose of this paper is to apply the adaptive neuro fuzzy inference system (ANFIS) on the stress-level detection from Video Interview dataset of 10 male subjects who were recording the video resume for the analysis purposes. The proposed method able to achieve an accuracy of 100 % with the re-clustering and ANFIS framework. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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