[HTML][HTML] A systematic review on emotion recognition system using physiological signals: data acquisition and methodology
Emotion recognition systems (ERS) have become a popular research field to contribute to
human-machine interaction in different areas. Different kinds of applications on ERS can …
human-machine interaction in different areas. Different kinds of applications on ERS can …
Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy
W Li, Z Zhang, A Song - Measurement, 2021 - Elsevier
Exploration on emotions continues from past to present. Nowadays, with the rapid
advancement of intelligent technology, computer-aided emotion recognition using …
advancement of intelligent technology, computer-aided emotion recognition using …
[HTML][HTML] Analysis of the residual effect using neuromarketing technology in audiovisual content entrepreneurship
M Núñez-Cansado, GC Méndez… - Sustainable Technology …, 2024 - Elsevier
Considering the informational overwhelm of the last few years and given the rise in new
entrepreneurship of communication means, the optimization of commercial communication's …
entrepreneurship of communication means, the optimization of commercial communication's …
Affective state estimation based on Russell's model and physiological measurements
Affective states are psycho-physiological constructs connecting mental and physiological
processes. They can be represented in terms of arousal and valence according to the …
processes. They can be represented in terms of arousal and valence according to the …
A shrewd artificial neural network-based hybrid model for pervasive stress detection of students using galvanic skin response and electrocardiogram signals
Mental illness issues are a very common health issue in youths and adults across the world.
The usage of real-time data analytics in health care has a great potential to improve and …
The usage of real-time data analytics in health care has a great potential to improve and …
Empirical analysis of chronic disease dataset for multiclass classification using optimal feature selection based hybrid model with spark streaming
Recent advancement in the field of pervasive healthcare monitoring systems causes the
generation of a huge amount of lifelog data in real-time. Chronic diseases are one of the …
generation of a huge amount of lifelog data in real-time. Chronic diseases are one of the …
Natural language Processing and Ontology based Decision Support System for Diabetic Patients
Diagnosis of diabetes disease is very promising because it may create various other acute
or chronic health problems in the human body. This study proposes a recommendation …
or chronic health problems in the human body. This study proposes a recommendation …
Emotion Recognition Using Various Measures and Computational Methods
A Hamrouni, F Bendella - Iraqi Journal For Computer …, 2024 - ijcsm.researchcommons.org
Emotion recognition has garnered significant attention as a burgeoning research domain,
owing to its potential applications across diverse fields such ashuman-computer interaction …
owing to its potential applications across diverse fields such ashuman-computer interaction …
Personalized programming education: Using machine learning to boost learning performance based on students' personality traits
This study explores the use of machine learning and physiological signals to enhance
learning performance based on students' personality traits. Traditional personality …
learning performance based on students' personality traits. Traditional personality …
Semi-skipping layered gated unit and efficient network: hybrid deep feature selection method for edge computing in EEG-based emotion classification
In this article, we propose a novel feature selection method based on hybrid neural networks
for emotional classification avoiding expensive computation. With the development of neural …
for emotional classification avoiding expensive computation. With the development of neural …