[HTML][HTML] Stress detection in daily life scenarios using smart phones and wearable sensors: A survey
Stress has become a significant cause for many diseases in the modern society. Recently,
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …
Stress detection using ECG and EMG signals: A comprehensive study
S Pourmohammadi, A Maleki - Computer methods and programs in …, 2020 - Elsevier
Abstract Background and Objective In recent years, stress and mental health have been
considered as important worldwide concerns. Stress detection using physiological signals …
considered as important worldwide concerns. Stress detection using physiological signals …
Continuous stress detection using wearable sensors in real life: Algorithmic programming contest case study
The negative effects of mental stress on human health has been known for decades. High-
level stress must be detected at early stages to prevent these negative effects. After the …
level stress must be detected at early stages to prevent these negative effects. After the …
[HTML][HTML] Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection
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 …
journey. Accordingly, previous methods have been conducted to detect mental stress based …
[HTML][HTML] An interpretable machine learning approach to multimodal stress detection in a simulated office environment
Background and objective: Work-related stress affects a large part of today's workforce and
is known to have detrimental effects on physical and mental health. Continuous and …
is known to have detrimental effects on physical and mental health. Continuous and …
Towards an anxiety and stress recognition system for academic environments based on physiological features
J Rodríguez-Arce, L Lara-Flores… - Computer methods and …, 2020 - Elsevier
Abstract Background and Objective Traditional methods to determine stress and anxiety in
academic environments consist of the application of questionnaires, but the main …
academic environments consist of the application of questionnaires, but the main …
Multimodal hierarchical CNN feature fusion for stress detection
R Kuttala, R Subramanian, VRM Oruganti - IEEE Access, 2023 - ieeexplore.ieee.org
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 …
various diseases or loss of focus and productivity at work. Being under stress prevents …
Personal stress-level clustering and decision-level smoothing to enhance the performance of ambulatory stress detection with smartwatches
Researchers strive hard to develop effective ways to detect and cope with enduring high-
level daily stress as early as possible to prevent serious health consequences. Although …
level daily stress as early as possible to prevent serious health consequences. Although …
Dynamic alignment and fusion of multimodal physiological patterns for stress recognition
X Zhang, X Wei, Z Zhou, Q Zhao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Stress has been identified as one of major causes of health issues. To detect the stress
levels with higher accuracy, fusion of multimodal physiological signals is a promising …
levels with higher accuracy, fusion of multimodal physiological signals is a promising …
Stressid: a multimodal dataset for stress identification
H Chaptoukaev, V Strizhkova… - Advances in …, 2024 - proceedings.neurips.cc
StressID is a new dataset specifically designed for stress identification fromunimodal and
multimodal data. It contains videos of facial expressions, audiorecordings, and physiological …
multimodal data. It contains videos of facial expressions, audiorecordings, and physiological …