Mmsd: A Multi-modal Dataset for Real-time, Continuous Stress Detection from Physiological Signals-Reference-Cited by-同舟云学术

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Mmsd: A Multi-modal Dataset for Real-time, Continuous Stress Detection from Physiological Signals

Published:2022 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies
language:
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Author:

Benchekroun Mouna¹²,Istrate Dan¹,Zalc Vincent¹,Lenne Dominique²

Affiliation:

1. Biomechanics and Bioengineering, UMR CNRS 7338, Université de Technologie de Compiègne, Compiègne, France, --- Select a Country ---

2. Heudiasyc (Heuristics and Diagnosis of Complex Systems), Université de Technologie de Compiègne, Compiègne, France, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Personalized Stress Detection Using Biosignals from Wearables: A Scoping Review;Sensors;2024-05-18

2. Predicting stress levels using physiological data: Real-time stress prediction models utilizing wearable devices;AIMS Neuroscience;2024

3. Stress Detection Protocol in Vehicular Driving using Virtual Reality;2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE);2023-10-25

4. Cross Dataset Analysis for Generalizability of HRV-Based Stress Detection Models;Sensors;2023-02-06

5. A Multi-Modal Dataset (MMSD) for Acute Stress Bio-Markers;Biomedical Engineering Systems and Technologies;2023

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