Emotion recognition in EEG signals using deep learning methods: A review
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …
planning, reasoning, and other mental states. As a result, they are considered a significant …
Automatic classification of emotions based on cardiac signals: a systematic literature review
Emotions play a pivotal role in human cognition, exerting influence across diverse domains
of individuals' lives. The widespread adoption of artificial intelligence and machine learning …
of individuals' lives. The widespread adoption of artificial intelligence and machine learning …
Machine learning model for mapping of music mood and human emotion based on physiological signals
Emotion is considered a physiological state that appears whenever a transformation is
observed by an individual in their environment or body. While studying the literature, it has …
observed by an individual in their environment or body. While studying the literature, it has …
Human emotion recognition based on brain signal analysis using fuzzy neural network
M Alruwaili, R Alruwaili, UA Kumar, AM Albarrak… - Soft Computing, 2023 - Springer
An important method in the “human–computer interface”(HCI) is emotion recognition.
Conventional emotion detection algorithms rely on exterior behaviors like facial expression …
Conventional emotion detection algorithms rely on exterior behaviors like facial expression …
Birdsongs recognition based on ensemble ELM with multi-strategy differential evolution
S Xie, Y Zhang, D Lv, H Xu, J Liu, Y Yin - Scientific Reports, 2022 - nature.com
Birds are a kind of environmental indicator organism, which can reflect the changes in the
ecological environment and biodiversity, and recognition of birdsongs can further help …
ecological environment and biodiversity, and recognition of birdsongs can further help …
Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects
In recent years, emotion recognition has received significant attention, presenting a plethora
of opportunities for application in diverse fields such as human–computer interaction …
of opportunities for application in diverse fields such as human–computer interaction …
Algorithm composition and emotion recognition based on machine learning
J He - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
This paper proposes a new algorithm composition network from the perspective of machine
learning, based on an in‐depth study of related literature. At the same time, this paper …
learning, based on an in‐depth study of related literature. At the same time, this paper …
The Analysis of Multi-track Music Generation with Deep Learning Models in Music Production Process
R Jiang, X Mou - IEEE Access, 2024 - ieeexplore.ieee.org
This study aims to explore the application of deep learning models in multi-track music
generation to enhance the efficiency and quality of music production. Considering the …
generation to enhance the efficiency and quality of music production. Considering the …
Emotion visualization system based on physiological signals combined with the picture and scene
W Lin, C Li, Y Zhang - Information Visualization, 2022 - journals.sagepub.com
In this paper, the system of emotion visualization and the system of emotion recognition and
judgment are established. Twenty subjects were selected for the test on the above two …
judgment are established. Twenty subjects were selected for the test on the above two …
Research on intelligent interactive music information based on visualization technology
N Liao - Journal of Intelligent Systems, 2022 - degruyter.com
Combining images with music is a music visualization to deepen the knowledge and
understanding of music information. This study briefly introduced the concept of music …
understanding of music information. This study briefly introduced the concept of music …