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
EPIStress: A multimodal dataset of Physiological signals to measure cognitive stress in epilepsy patients
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Data"
DOI: 10.1038/s41597-025-06328-3
Abstract: Epilepsy patients commonly report stress as a frequent seizure trigger; however, the objective seizure-stress relationship is unclear due to self-report biases and difficulty in objective quantification of stress. This work presents a dataset from twenty… read more here.
Keywords: cognitive stress; stress; seizure; physiological signals ... 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
Integrating physiological signals for enhanced sleep apnea diagnosis with SleepNet
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-16154-7
Abstract: Sleep apnea, a prevalent respiratory disorder, poses significant health risks, including cardiovascular complications and behavioral issues, if left untreated. Traditional diagnostic methods like polysomnography, although effective, are often expensive and inconvenient. SleepNet addresses these issues… read more here.
Keywords: sleepnet; sleep apnea; physiological signals; apnea ... 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
Intelligent emotion recognition in product design using multimodal physiological signals and machine learning
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Engineering Design"
DOI: 10.1080/09544828.2024.2362589
Abstract: Identifying emotional responses in products is essential for product design and user research. Traditional methods, such as interviews and surveys, for gathering product experience data are time-consuming and resource-intensive, and often fail to capture users’… read more here.
Keywords: product; machine learning; multimodal physiological; physiological signals ... See more keywords
Consistent movement of viewers’ facial keypoints while watching emotionally evocative videos
Sign Up to like & getrecommendations! Published in 2024 at "PLOS ONE"
DOI: 10.1101/2024.05.02.592052
Abstract: Neuropsychological research aims to unravel how diverse individuals’ brains exhibit similar functionality when exposed to the same stimuli. The evocation of consistent responses when different subjects watch the same emotionally evocative stimulus has been observed… read more here.
Keywords: facial expressions; emotionally evocative; movement; physiological signals ... 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