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Published in 2025 at "Neural Computing and Applications"
DOI: 10.1007/s00521-024-10737-7
Abstract: One tool for promoting mental health is human stress detection through multitasks of electroencephalography (EEG) recordings. This study proposed a short-term stress detection approach using VGGish as a feature extraction and convolution neural network (CNN)…
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Keywords:
cnn;
stress detection;
based eeg;
stress ... See more keywords
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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 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-16642-w
Abstract: Stress is a type of mental tension or escalated psycho-physiological state of the human body caused by a problematic situation. It majorly affects adults and elders, which further leads to chronic health problems and heart-related…
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Keywords:
deep learning;
stress detection;
stress;
model ... 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 2024 at "Ergonomics"
DOI: 10.1080/00140139.2024.2430370
Abstract: Abstract Detecting daily stress is of vital importance for workplace safety and health, and natural speech is recommended as one of the main methods of mental stress detection. This study developed machine-learning models for daily…
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Keywords:
stress detection;
real life;
daily stress;
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2
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 2024 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2024.3519600
Abstract: The study introduces an innovative approach to efficient mental stress detection by combining electroencephalography (EEG) analysis with on-chip neural networks, taking advantage of EEG's temporal resolution and the computational capabilities of embedded neural networks. The…
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Keywords:
stress detection;
stress;
chip;
eeg ... 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