[HTML][HTML] Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review
Introduction Wearable sensors have shown promise as a non-intrusive method for collecting
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
Classification of mental stress from wearable physiological sensors using image-encoding-based deep neural network
The human body is designed to experience stress and react to it, and experiencing
challenges causes our body to produce physical and mental responses and also helps our …
challenges causes our body to produce physical and mental responses and also helps our …
A machine-learning approach for stress detection using wearable sensors in free-living environments
Stress is a psychological condition resulting from the body's response to challenging
situations, which can negatively impact physical and mental health if experienced over …
situations, which can negatively impact physical and mental health if experienced over …
Stress monitoring using wearable sensors: IoT techniques in medical field
FM Talaat, RM El-Balka - Neural Computing and Applications, 2023 - Springer
Abstract The concept “Internet of Things”(IoT), which facilitates communication between
linked devices, is relatively new. It refers to the next generation of the Internet. IoT supports …
linked devices, is relatively new. It refers to the next generation of the Internet. IoT supports …
Stress Monitoring Using Machine Learning, IoT and Wearable Sensors
The Internet of Things (IoT) has emerged as a fundamental framework for interconnected
device communication, representing a relatively new paradigm and the evolution of the …
device communication, representing a relatively new paradigm and the evolution of the …
[HTML][HTML] Stress monitoring using wearable sensors: a pilot study and stress-predict dataset
With the recent advancements in the field of wearable technologies, the opportunity to
monitor stress continuously using different physiological variables has gained significant …
monitor stress continuously using different physiological variables has gained significant …
[HTML][HTML] Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices
Introduction: Advances in wearable sensor technology have enabled the collection of
biomarkers that may correlate with levels of elevated stress. While significant research has …
biomarkers that may correlate with levels of elevated stress. While significant research has …
Exploring unsupervised machine learning classification methods for physiological stress detection
Over the past decade, there has been a significant development in wearable health
technologies for diagnosis and monitoring, including application to stress monitoring. Most …
technologies for diagnosis and monitoring, including application to stress monitoring. Most …
Improved stress classification using automatic feature selection from heart rate and respiratory rate time signals
Time-series features are the characteristics of data periodically collected over time. The
calculation of time-series features helps in understanding the underlying patterns and …
calculation of time-series features helps in understanding the underlying patterns and …
Stress appraisal in the workplace and its associations with productivity and mood: Insights from a multimodal machine learning analysis
Previous studies have primarily focused on predicting stress arousal, encompassing
physiological, behavioral, and psychological responses to stressors, while neglecting the …
physiological, behavioral, and psychological responses to stressors, while neglecting the …