Music mood and human emotion recognition based on physiological signals: a systematic review
Sign Up to like & getrecommendations! Published in 2022 at "Multimedia Systems"
DOI: 10.1007/s00530-021-00786-6
Abstract: Scientists and researchers have tried to establish a bond between the emotions conveyed and the subsequent mood perceived in a person. Emotions play a major role in terms of our choices, preferences, and decision-making. Emotions… read more here.
Keywords: music; review; mood; emotion ... See more keywords
Blind source extraction of long-term physiological signals from facial thermal images
Sign Up to like & getrecommendations! Published in 2017 at "Artificial Life and Robotics"
DOI: 10.1007/s10015-017-0423-9
Abstract: The amount of mental work using information equipment has been increasing because of a rapid growth of an information society. Accumulation of short-term mental work can cause various stresses and a disturbance of circadian rhythm… read more here.
Keywords: thermal images; term; long term; physiological signals ... See more keywords
Comparing stress prediction models using smartwatch physiological signals and participant self-reports
Sign Up to like & getrecommendations! Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106207
Abstract: Recent advances in wearable technology have facilitated the non-obtrusive monitoring of physiological signals, creating opportunities to monitor and predict stress. Researchers have utilized machine learning methods using these physiological signals to develop stress prediction models.… read more here.
Keywords: self reports; models using; stress; physiological signals ... See more keywords
Nature-Driven Biocompatible Epidermal Electronic Skin for Real-Time Wireless Monitoring of Human Physiological Signals.
Sign Up to like & getrecommendations! Published in 2023 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.3c00509
Abstract: Wearable bioelectronic patches are creating a transformative effect in the health care industry for human physiological signal monitoring. However, the use of such patches is restricted due to the unavailability of a proper power source.… read more here.
Keywords: skin; physiological signals; electronic skin; power ... See more keywords
Time–frequency time–space LSTM for robust classification of physiological signals
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-86432-7
Abstract: Automated analysis of physiological time series is utilized for many clinical applications in medicine and life sciences. Long short-term memory (LSTM) is a deep recurrent neural network architecture used for classification of time-series data. Here… read more here.
Keywords: classification; frequency time; time space; time ... See more keywords
Environmental Distress and Physiological Signals: Examination of the Saliency Detection Method
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Computing in Civil Engineering"
DOI: 10.1061/(asce)cp.1943-5487.0000926
Abstract: AbstractBurgeoning attention has recently been paid to measuring and assessing the effects of urban built environments on pedestrians’ physiological signals (e.g., gait patterns, blood volume pulse... read more here.
Keywords: examination saliency; environmental distress; saliency detection; distress physiological ... See more keywords
Using Deep Convolutional Neural Network for Emotion Detection on a Physiological Signals Dataset (AMIGOS)
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2883213
Abstract: Recommender systems have been based on context and content, and now the technological challenge of making personalized recommendations based on the user emotional state arises through physiological signals that are obtained from devices or sensors.… read more here.
Keywords: neural network; using deep; emotion; physiological signals ... See more keywords
SigRep: Toward Robust Wearable Emotion Recognition With Contrastive Representation Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3149509
Abstract: Extracting emotions from physiological signals has become popular over the past decade. Recent advancements in wearable smart devices have enabled capturing physiological signals continuously and unobtrusively. However, signal readings from different smart wearables are lossy… read more here.
Keywords: physiological signals; toward robust; emotion; sigrep toward ... See more keywords
Emotion Recognition From Multimodal Physiological Signals Using a Regularized Deep Fusion of Kernel Machine
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.2987575
Abstract: These days, physiological signals have been studied more broadly for emotion recognition to realize emotional intelligence in human–computer interaction. However, due to the complexity of emotions and individual differences in physiological responses, how to design… read more here.
Keywords: fusion; regularized deep; physiological signals; emotion recognition ... See more keywords
Characterization of a low consumption wireless sensor node for the intensive transmission of physiological signals
Sign Up to like & getrecommendations! Published in 2019 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v14.i2.pp957-965
Abstract: This paper describes the development and implementation of low power consumption wireless sensor nodes for the periodic monitoring of physiological signals with intensive data transmission, using Wi-Fi and ZigBee wireless communication modules, obtaining operation characteristics… read more here.
Keywords: consumption wireless; physiological signals; consumption; transmission ... See more keywords
An Innovative Emotion Assessment using Physiological Signals Based on The Combination Mechanism
Sign Up to like & getrecommendations! Published in 2017 at "Scientia Iranica"
DOI: 10.24200/sci.2017.4352
Abstract: The main purpose of this paper is the assessment of emotions using Electroencephalogram (EEG) and peripheral physiological signals and improve recognition accuracy of emotional states using combination mechanism. At the first step, according to the… read more here.
Keywords: combination; combination mechanism; innovative emotion; physiological signals ... See more keywords