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Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-00062-7
Abstract: In-car passive stress sensing could enable the monitoring of stress biomarkers while driving and reach millions of commuters daily (i.e., 123 million daily commuters in the US alone). Here, we present a nonintrusive method to…
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Keywords:
detection using;
stress;
individualized stress;
car ... See more keywords
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Published in 2021 at "Ergonomics"
DOI: 10.1080/00140139.2021.2020342
Abstract: Complex and diverse driving situations can pose short-term stressors to novice drivers. Continuously detecting stress is essential for driver training, stress intervention, and the design of in-vehicle information systems. This study designed and validated a…
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Keywords:
young novice;
driver stress;
novice drivers;
stress detection ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3158658
Abstract: Driver’s stress detection is a critical research area that helps reduce the likelihood of traffic accidents and driver’s health complexities due to prolonged stress. Previous work in this area is heavily based on traditional machine…
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Keywords:
stress;
stress levels;
driver stress;
stress detection ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3237545
Abstract: Stress is one of the most severe concerns in modern life. High-level stress can create various diseases or loss of focus and productivity at work. Being under stress prevents people from recognizing their stress levels,…
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Keywords:
stress;
fusion;
cnn;
feature ... See more keywords
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Published in 2022 at "Journal of integrative neuroscience"
DOI: 10.31083/j.jin2101020
Abstract: Stress has become a dangerous health problem in our life, especially in student education journey. Accordingly, previous methods have been conducted to detect mental stress based on biological and biochemical effects. Moreover, hormones, physiological effects,…
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Keywords:
frontal lobe;
stress;
stress detection;
machine learning ... See more keywords
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Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.947168
Abstract: Mental stress is becoming increasingly widespread and gradually severe in modern society, threatening people’s physical and mental health. To avoid the adverse effects of stress on people, it is imperative to detect stress in time.…
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Keywords:
stress;
multimodality;
framework;
deep learning ... See more keywords
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Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.949054
Abstract: As compared with the traditional visual discrimination methods, deep learning and image processing methods have the ability to detect plants efficiently and non-invasively. This is of great significance in the diagnosis and breeding of plant…
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Keywords:
segmentation;
detection;
tea;
plant ... See more keywords
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Published in 2022 at "Biosensors"
DOI: 10.3390/bios12060427
Abstract: In the modern world, wearable smart devices are continuously used to monitor people’s health. This study aims to develop an automatic mental stress detection system for researchers based on Electrocardiogram (ECG) signals from smart T-shirts…
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Keywords:
system;
stress;
machine learning;
mental stress ... See more keywords
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Published in 2023 at "Biosensors"
DOI: 10.3390/bios13030397
Abstract: This study presents an ear-mounted photoplethysmography (PPG) system that is designed to detect mental stress. Mental stress is a prevalent condition that can negatively impact an individual’s health and well-being. Early detection and treatment of…
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Keywords:
stress;
detection using;
using wearable;
mental stress ... See more keywords
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Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13111936
Abstract: Stress has an impact, not only on a person’s physical health, but also on the ability to perform at the workplace in daily life. The well-established relation between psychological stress and its pathogeneses highlights the…
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Keywords:
psychological stress;
stress;
deep learning;
stress detection ... See more keywords
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Published in 2022 at "Journal of Personalized Medicine"
DOI: 10.3390/jpm12101584
Abstract: Machine learning has been proven to provide good performances on stress detection tasks using multi-modal sensor data from a smartwatch. Generally, machine learning techniques need a sufficient amount of data to train a robust model.…
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Keywords:
comparative analysis;
federated learning;
individual centralized;
based stress ... See more keywords