Abstract | ||
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Stress is a complex phenomenon that impacts the body and the mind at several levels. It has been studied for more than a century from different perspectives, which result in different definitions and different ways to assess the presence of stress. This paper introduces a methodology for analyzing multimodal stress detection results by taking into account the variety of stress assessments. As a fi... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TAFFC.2016.2631594 | IEEE Transactions on Affective Computing |
Keywords | Field | DocType |
Stress,Physiology,Feature extraction,Electrocardiography,Heart rate variability,Observers | Social psychology,Predictive power,Heart rate variability,Blood volume pulse,Psychology,Feature extraction,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
9 | 4 | 1949-3045 |
Citations | PageRank | References |
1 | 0.41 | 9 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jonathan Aigrain | 1 | 7 | 1.18 |
Michel Spodenkiewicz | 2 | 1 | 0.41 |
Séverine Dubuisson | 3 | 168 | 24.12 |
Marcin Detyniecki | 4 | 330 | 39.95 |
David Cohen | 5 | 72 | 7.29 |
Mohamed Chetouani | 6 | 590 | 59.47 |