Results 11 to 20 of about 7,889,874 (346)
Emotion recognition from physiological signals
Journal of Medical Engineering and Technology, 2011 Emotion recognition is one of the great challenges in human-human and human-computer interaction. Accurate emotion recognition would allow computers to recognize human emotions and therefore react accordingly. In this paper, an approach for emotion recognition based on physiological signals is proposed.
Gouizi, K. +2 more
exaly +5 more sources
FGF23 signalling and physiology [PDF]
Journal of Molecular Endocrinology, 2021 Fibroblast growth factor 23 (FGF23) is a phosphotropic hormone that belongs to a subfamily of endocrine FGFs with evolutionarily conserved functions in worms and fruit flies. FAM20C phosphorylates FGF23 post-translationally, targeting it to proteolysis through subtilisin-like proprotein convertase FURIN, resulting in secretion of FGF23 fragments.
Bryan B, Ho, Clemens, Bergwitz
openaire +2 more sources
Non-Contrastive Unsupervised Learning of Physiological Signals from Video [PDF]
Computer Vision and Pattern Recognition, 2023 Subtle periodic signals such as blood volume pulse and respiration can be extracted from RGB video, enabling non-contact health monitoring at low cost. Advancements in remote pulse estimation - or remote photoplethysmography (rPPG) - are currently driven
Jeremy Speth +3 more
semanticscholar +1 more source
Exploring the Applicability of Physiological Monitoring to Manage Physical Fatigue in Firefighters
Sensors, 2023 Physical fatigue reduces productivity and quality of work while increasing the risk of injuries and accidents among safety-sensitive professionals. To prevent its adverse effects, researchers are developing automated assessment methods that, despite ...
Denisse Bustos +7 more
doaj +1 more source
Deep Generative Models for Physiological Signals: A Systematic Literature Review [PDF]
Artif. Intell. Medicine, 2023 In this paper, we present a systematic literature review on deep generative models for physiological signals, particularly electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmogram (PPG) and electromyogram (EMG).
Nour Neifar +3 more
semanticscholar +1 more source
Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals
Applied Sciences, 2023 People’s emotions play an important part in our daily life and can not only reflect psychological and physical states, but also play a vital role in people’s communication, cognition and decision-making.
Wenqian Lin, C. Li
semanticscholar +1 more source
Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signals [PDF]
, 2022 Major Depressive Disorder (MDD) is a neurohormonal disorder that causes persistent negative thoughts, mood and feelings, often accompanied with suicidal ideation (SI).
Zitouni, M. Sami +10 more
core +1 more source
Pain and Stress Detection Using Wearable Sensors and Devices—A Review
Sensors, 2021 Pain is a subjective feeling; it is a sensation that every human being must have experienced all their life. Yet, its mechanism and the way to immune to it is still a question to be answered. This review presents the mechanism and correlation of pain and
Jerry Chen +2 more
doaj +1 more source
Advanced Materials & Technologies, 2023 Recent progress in flexible sensors and piezoelectric materials has enabled the development of continuous monitoring systems for human physiological signals as wearable and implantable medical devices.
Mohsin Ali +5 more
semanticscholar +1 more source
Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: a systematic review [PDF]
, 2021 Driver sleepiness is a major contributor to road crashes. A system that monitors and warns the driver at a certain, critical level of arousal, could aid in reducing sleep-related crashes.
Watling, Christopher N. +2 more
core +1 more source