A review on mental stress detection using wearable sensors and machine learning techniques
Stress is an escalated psycho-physiological state of the human body emerging in response
to a challenging event or a demanding condition. Environmental factors that trigger stress …
to a challenging event or a demanding condition. Environmental factors that trigger stress …
Bringing emotion recognition out of the lab into real life: Recent advances in sensors and machine learning
S Saganowski - Electronics, 2022 - mdpi.com
Bringing emotion recognition (ER) out of the controlled laboratory setup into everyday life
can enable applications targeted at a broader population, eg, helping people with …
can enable applications targeted at a broader population, eg, helping people with …
Privacy-preserving federated deep learning for wearable IoT-based biomedical monitoring
IoT devices generate massive amounts of biomedical data with increased digitalization and
development of the state-of-the-art automated clinical data collection systems. When …
development of the state-of-the-art automated clinical data collection systems. When …
HRV and stress: a mixed-methods approach for comparison of wearable heart rate sensors for biofeedback
Stress is one of the most significant health problems in today's world. Existing work has used
heart rate variability (HRV) to detect stress and provide biofeedback in order to regulate it …
heart rate variability (HRV) to detect stress and provide biofeedback in order to regulate it …
[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 …
A systematic approach to the design and characterization of a smart insole for detecting vertical ground reaction force (vGRF) in gait analysis
Gait analysis is a systematic study of human locomotion, which can be utilized in various
applications, such as rehabilitation, clinical diagnostics and sports activities. The various …
applications, such as rehabilitation, clinical diagnostics and sports activities. The various …
Approaches, applications, and challenges in physiological emotion recognition—a tutorial overview
An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …
applications in daily life from monitoring emotional well-being to improving the quality of life …
Occupational stress monitoring using biomarkers and smartwatches: a systematic review
This article presents a systematic review of the literature concerning scientific publications
on wrist wearables that can help to identify stress levels. The study is part of a research …
on wrist wearables that can help to identify stress levels. The study is part of a research …
Heart rate variability-based mental stress detection: an explainable machine learning approach
Stress may be identified by examining changes in everyone's physiological reactions. Due
to its usefulness and non-intrusive appearance, wearable devices have gained popularity in …
to its usefulness and non-intrusive appearance, wearable devices have gained popularity in …
AI-enabled smart wristband providing real-time vital signs and stress monitoring
N Mitro, K Argyri, L Pavlopoulos, D Kosyvas… - Sensors, 2023 - mdpi.com
This work introduces the design, architecture, implementation, and testing of a low-cost and
machine-learning-enabled device to be worn on the wrist. The suggested wearable device …
machine-learning-enabled device to be worn on the wrist. The suggested wearable device …