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Harnessing the Power of Multimodal Physiological Signals an..:
, In:
2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)
,
BV, Thanush
;
Athota, Ravi Kumar
;
A, Divya Varshini
... - p. 747-751 , 2023
Link:
https://doi.org/10.1109/ICCCIS60361.2023.10425040
RT T1 <cTitle>2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)</cTitle>: T1 <Title>Harnessing the Power of Multimodal Physiological Signals and Deep Learning for Stress Monitoring</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10425040&Exemplar=1&LAN=DE A1 BV, Thanush A1 Athota, Ravi Kumar A1 A, Divya Varshini A1 M, Radha KomaliDevi A1 D, Lakshman A1 D, Sumathi YR 2023 K1 Recurrent neural networks K1 Annotations K1 Feature extraction K1 Biomedical monitoring K1 Stress K1 Wearable sensors K1 Monitoring K1 Body temperature K1 Blood volume pulse K1 Heart rate K1 Electrodermal K1 Inter beat interval K1 Deep learning K1 Stress detection K1 Multiple sensors SP 747 OP 751 LK http://dx.doi.org/https://doi.org/10.1109/ICCCIS60361.2023.10425040 DO https://doi.org/10.1109/ICCCIS60361.2023.10425040 SF ELIB - SuUB Bremen
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