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 …
A survey on wearable sensors for mental health monitoring
Mental illness, whether it is medically diagnosed or undiagnosed, affects a large proportion
of the population. It is one of the causes of extensive disability, and f not properly treated, it …
of the population. It is one of the causes of extensive disability, and f not properly treated, it …
An accurate non-accelerometer-based ppg motion artifact removal technique using cyclegan
A photoplethysmography (PPG) is an uncomplicated and inexpensive optical technique
widely used in the healthcare domain to extract valuable health-related information, eg …
widely used in the healthcare domain to extract valuable health-related information, eg …
An end-to-end and accurate ppg-based respiratory rate estimation approach using cycle generative adversarial networks
Respiratory rate (RR) is a clinical sign representing ventilation. An abnormal change in RR
is often the first sign of health deterioration as the body attempts to maintain oxygen delivery …
is often the first sign of health deterioration as the body attempts to maintain oxygen delivery …
Stress detection using frequency spectrum analysis of wrist-measured electrodermal activity
The article deals with the detection of stress using the electrodermal activity (EDA) signal
measured at the wrist. We present an approach for feature extraction from EDA. The …
measured at the wrist. We present an approach for feature extraction from EDA. The …
Lateralization Effects in Electrodermal Activity Data Collected Using Wearable Devices
Electrodermal activity (EDA) is a physiological signal that can be used to infer humans'
affective states and stress levels. EDA can nowadays be monitored using unobtrusive …
affective states and stress levels. EDA can nowadays be monitored using unobtrusive …
Simulation of ambulatory electrodermal activity and the handling of low-quality segments
Background and objectives Monitoring electrodermal activity (EDA) in daily life requires
effective handling of low-quality segments, which are common in ambulatory EDA data …
effective handling of low-quality segments, which are common in ambulatory EDA data …
Measurements of Electrodermal Activity, Tissue Oxygen Saturation, and Visual Analog Scale for Different Cuff Pressures
The quantification of comfort in binding parts, essential human–machine interfaces (HMI) for
the functioning of rehabilitation robots, is necessary to reduce physical strain on the user …
the functioning of rehabilitation robots, is necessary to reduce physical strain on the user …
A low cost eda-based stress detection using machine learning
Stress is an inevitable part of our lives in modern society since in many situations people are
exposed to various stressors daily. According to studies, long-term stress can cause mental …
exposed to various stressors daily. According to studies, long-term stress can cause mental …
Automated Multimodal Stress Detection in Computer Office Workspace
Nowadays, changes in the conditions and nature of the workplace make it imperative to
create unobtrusive systems for the automatic detection of occupational stress, which can be …
create unobtrusive systems for the automatic detection of occupational stress, which can be …