AIMC Topic: Arousal

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Estimation of Organizational Competitiveness by a Hybrid of One-Dimensional Convolutional Neural Networks and Self-Organizing Maps Using Physiological Signals for Emotional Analysis of Employees.

Sensors (Basel, Switzerland) May 28, 2021
The theory of modern organizations considers emotional intelligence to be the metric for tools that enable organizations to create a competitive vision. It also helps corporate leaders enthusiastically adhere to the vision and energize organizational...
Humans Galvanic Skin Response Emotions Arousal Neural Networks, Computer Algorithms
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Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals.

Computers in biology and medicine May 6, 2021
Emotion is interpreted as a psycho-physiological process, and it is associated with personality, behavior, motivation, and character of a person. The objective of affective computing is to recognize different types of emotions for human-computer inte...
Arousal Humans Emotions Neural Networks, Computer Electroencephalography
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Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics.

Nature neuroscience May 6, 2021
Decades of neurobiological research have disclosed the diverse manners in which the response properties of neurons are dynamically modulated to support adaptive cognitive functions. This neuromodulation is achieved through alterations in the biophysi...
Neurons Neural Networks, Computer Nerve Net Brain Humans Arousal Animals Models, Neurological
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Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolutional Neural Network.

Journal of medical systems Mar 4, 2021
In this work, an attempt has been made to classify emotional states using electrodermal activity (EDA) signals and multiscale convolutional neural networks. For this, EDA signals are considered from a publicly available "A Dataset for Emotion Analysi...
Humans Neural Networks, Computer Arousal Galvanic Skin Response Learning Emotions
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A Comparative Study of Window Size and Channel Arrangement on EEG-Emotion Recognition Using Deep CNN.

Sensors (Basel, Switzerland) Mar 1, 2021
Emotion recognition based on electroencephalograms has become an active research area. Yet, identifying emotions using only brainwaves is still very challenging, especially the subject-independent task. Numerous studies have tried to propose methods ...
Electroencephalography Arousal Humans Neural Networks, Computer Machine Learning Emotions
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DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal.

Communications biology Jan 4, 2021
Sleep arousals are transient periods of wakefulness punctuated into sleep. Excessive sleep arousals are associated with symptoms such as sympathetic activation, non-restorative sleep, and daytime sleepiness. Currently, sleep arousals are mainly annot...
Polysomnography Arousal Deep Learning Sleep Humans
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Making eye contact with a robot: Psychophysiological responses to eye contact with a human and with a humanoid robot.

Biological psychology Nov 17, 2020
Previous research has shown that eye contact, in human-human interaction, elicits increased affective and attention related psychophysiological responses. In the present study, we investigated whether eye contact with a humanoid robot would elicit th...
Fixation, Ocular Facial Expression Arousal Robotics Attention Humans
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Emotion Elicitation Under Audiovisual Stimuli Reception: Should Artificial Intelligence Consider the Gender Perspective?

International journal of environmental research and public health Nov 17, 2020
Identification of emotions triggered by different sourced stimuli can be applied to automatic systems that help, relieve or protect vulnerable groups of population. The selection of the best stimuli allows to train these artificial intelligence-based...
Humans Machine Learning Female Artificial Intelligence Photic Stimulation Visual Perception Audiovisual Aids Sex Factors Arousal Male Fear Emotions
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Eye-Tracking Analysis for Emotion Recognition.

Computational intelligence and neuroscience Aug 27, 2020
This article reports the results of the study related to emotion recognition by using eye-tracking. Emotions were evoked by presenting a dynamic movie material in the form of 21 video fragments. Eye-tracking signals recorded from 30 participants were...
Support Vector Machine Eye-Tracking Technology Humans Arousal Emotions Eye Movements Reproducibility of Results
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Emotion Assessment Using Feature Fusion and Decision Fusion Classification Based on Physiological Data: Are We There Yet?

Sensors (Basel, Switzerland) Aug 21, 2020
Emotion recognition based on physiological data classification has been a topic of increasingly growing interest for more than a decade. However, there is a lack of systematic analysis in literature regarding the selection of classifiers to use, sens...
Electrocardiography Emotions Female Humans Male Arousal Supervised Machine Learning Respiration Heart Rate
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