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
Design and Implementation of a Multifunction Wearable Device to Monitor Sleep Physiological Signals
Micromachines, 2020 We present a wearable device built on an Adafruit Circuit Playground Express (CPE) board and integrated with a photoplethysmographic (PPG) optical sensor for heart rate monitoring and multiple embedded sensors for medical applications—in particular ...
Lun-De Liao +6 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
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
Compressed Sensing Approach for Physiological Signals: A Review
IEEE Sensors Journal, 2023 The immense progress in physiological signal acquisition and processing in health monitoring allowed a better understanding of patient disease detection and diagnosis.
Bharat Lal +3 more
semanticscholar +1 more source
ACM Multimedia, 2023 Emotion recognition using multi-modal physiological signals is an emerging field in affective computing that significantly improves performance compared to unimodal approaches.
Yu-Cheng Liu, Zi-Yu Jia, Haichao Wang
semanticscholar +1 more source
Seizure occurrence is linked to multiday cycles in diverse physiological signals
Epilepsia, 2023 The factors that influence seizure timing are poorly understood, and seizure unpredictability remains a major cause of disability. Work in chronobiology has shown that cyclical physiological phenomena are ubiquitous, with daily and multiday cycles ...
N. Gregg +15 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. +5 more
core +1 more source
A comparative study of machine learning techniques for emotion recognition from peripheral physiological signals. [PDF]
, 2020 Recent developments in wearable technology have led to increased research interest in using peripheral physiological signals for emotion recognition.
Flynn, Ronan +2 more
core +1 more source
A large scale dataset of emotion annotated physiological signals collected from a public exhibit. [PDF]
Sci Rep~35000 emotion-annotated physiological signals captured during a public emotion-elicitation task to audiovisual ...
Girgis J, Lavoie R, Blain-Moraes S.
europepmc +2 more sources