Výsledky vyhľadávania - Emotion Recognition and Analysis in Multimodal Data

Linear And Nonlinear Analysis of Multimodal Physiological Data for Emotion Recognition

Autori: Amirhosein Dolatabadi Mahsa Heydari Bahar Hashempour a ďalší

Zdroj: Journal of Artificial Intelligence and System Modelling, Vol 03, Iss 03, Pp 105-115 (2025)

Predmety: eeg, physiological signals, peripheral data, emotion recognition, signal processing, classification, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://jaism.bilijipub.com/article_230947_647d7a3437498cd925ec91e761024f13.pdf; https://doaj.org/toc/3041-850X

Prístupová URL adresa: https://doaj.org/article/2efec8b3ec5246f3ad334d5d834f957b

Linear And Nonlinear Analysis of Multimodal Physiological Data for Emotion Recognition.

Autori: Dolatabadi, Amirhosein Heydari, Mahsa Hashempour, Bahar a ďalší

Zdroj: Journal of Artificial Intelligence & System Modelling (JAISM); Sep2025, Vol. 3 Issue 3, p105-115, 11p

Predmety: EMOTION recognition, ELECTROENCEPHALOGRAPHY, ARTIFICIAL neural networks, BIOTELEMETRY, MACHINE learning, FEATURE extraction

A Framework to Evaluate Fusion Methods for Multimodal Emotion Recognition

Autori: Diego Peña Ana Aguilera Irvin Dongo a ďalší

Zdroj: IEEE Access, Vol 11, Pp 10218-10237 (2023)

Predmety: Artificial intelligence, Economics, Social Sciences, Experimental and Cognitive Psychology, Epistemology, 02 engineering and technology, Modality (human–computer interaction), Task (project management), Modalities, Context (archaeology), Sociology, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Psychology, fusion methods, Ensemble Methods, Speech Enhancement Techniques, Fusion, Data mining, Biology, multimodality, Sensor fusion, Paleontology, Linguistics, Social science, Computer science, TK1-9971, Process (computing), FOS: Sociology, FOS: Philosophy, ethics and religion, Management, FOS: Psychology, Philosophy, Operating system, Emotion Recognition, Computer Science, Physical Sciences, Signal Processing, Affective Computing, Quality (philosophy), FOS: Languages and literature, Emotion recognition, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques, Multimodal Data, Emotion Recognition and Analysis in Multimodal Data

Prístupová URL adresa: https://doaj.org/article/27aaa0fea9eb4567bedc43d89798e912

QAP: A Quantum-Inspired Adaptive-Priority-Learning Model for Multimodal Emotion Recognition

Autori: Ziming Li Yan Zhou Yaxin Liu a ďalší

Zdroj: Findings of the Association for Computational Linguistics: ACL 2023. :12191-12204

Predmety: Artificial intelligence, Photonic Reservoir Computing for Neural Computation, Cognitive Neuroscience, Social Sciences, Experimental and Cognitive Psychology, Modality (human–computer interaction), Modalities, Sociology, Artificial Intelligence, Machine learning, Psychology, Polymer chemistry, 10. No inequality, 4. Education, Life Sciences, Brain-Computer Interfaces in Neuroscience and Medicine, Social science, Computer science, FOS: Sociology, FOS: Psychology, Chemistry, Emotion Recognition, Computer Science, Physical Sciences, Affective Computing, Emotion recognition, Modal, Multimodal Data, Speech Emotion, Emotion Recognition and Analysis in Multimodal Data, Neuroscience

IoT-based approach to multimodal music emotion recognition.

Autori: Zhao, Hanbing Jin, Ling

Zdroj: Alexandria Engineering Journal. Feb2025, Vol. 113, p19-31. 13p.

Predmety: Convolutional neural networks, Emotion recognition, Music & emotions, Artificial intelligence, Musical analysis

A Systematic Review on Emotion Recognition System Using Physiological Signals: Data Acquisition and Methodology

Autori: K. Tawsif Nor Azlina Ab. Aziz J. Emerson Raja a ďalší

Zdroj: Emerging Science Journal, Vol 6, Iss 5, Pp 1167-1198 (2022)

Predmety: Artificial intelligence, Cognitive Neuroscience, Social Sciences, Experimental and Cognitive Psychology, 02 engineering and technology, Modality (human–computer interaction), 7. Clean energy, Data science, EEG Analysis, Field (mathematics), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, T1-995, Psychology, Deep Learning for EEG, emotion recognition system, Technology (General), H1-99, Human–computer interaction, physiological signals, Physiological Signals, 9. Industry and infrastructure, Pure mathematics, Life Sciences, Affective computing, Brain-Computer Interfaces in Neuroscience and Medicine, biosensors, Computer science, physiological sensors, Process (computing), Social sciences (General), FOS: Psychology, Operating system, Emotion Recognition, Affective Computing, Emotion recognition, RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry, Mathematics, Neuroscience, Emotion Recognition and Analysis in Multimodal Data

Popis súboru: text

Prístupová URL adresa: https://doaj.org/article/77425eef743b4555a4a365f2b30a3903

Wavelet ELM-AE Based Data Augmentation and Deep Learning for Efficient Emotion Recognition Using EEG Recordings

Autori: Berna ARI Kamran Siddique Ömer Faruk Alçin a ďalší

Zdroj: IEEE Access, Vol 10, Pp 72171-72181 (2022)

Predmety: Artificial neural network, Artificial intelligence, Extreme learning machine, Cognitive Neuroscience, Social Sciences, Experimental and Cognitive Psychology, Convolutional neural network, Auto-encoder, 02 engineering and technology, Speech recognition, Pattern recognition (psychology), 7. Clean energy, EEG Analysis, Artificial Intelligence, emotion recognition, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Deep Learning for EEG, emotion measurement, Theory and Applications of Extreme Learning Machines, Morlet wavelet, Psychiatry, deep learning, Life Sciences, Electroencephalography, Deep learning, Autoencoder, Brain-Computer Interfaces in Neuroscience and Medicine, Computer science, TK1-9971, FOS: Psychology, Emotion Recognition, Computer Science, Physical Sciences, Affective Computing, Discrete wavelet transform, Wavelet transform, Electrical engineering. Electronics. Nuclear engineering, Extreme Learning Machine, Wavelet, data augmentation, Neuroscience, Emotion Recognition and Analysis in Multimodal Data

Prístupová URL adresa: https://doaj.org/article/b016c90708494848b07a3983dd903293

Real-time music emotion recognition based on multimodal fusion.

Autori: Hao, Xingye Li, Honghe Wen, Yonggang

Zdroj: Alexandria Engineering Journal. Mar2025, Vol. 116, p586-600. 15p.

Predmety: Affective computing, Emotion recognition, Music & emotions, Musical analysis, Long short-term memory

A Decade of Music Emotion Computing: A Bibliometric Analysis of Trends, Interdisciplinary Collaboration, and Applications.

Autori: Zhang, Jingjing Chen, Wei

Zdroj: Education for Information. Aug2025, Vol. 41 Issue 3, p227-255. 29p.

Predmety: *Bibliometrics, *Recommender systems, Music & emotions, Data privacy, Musical analysis

Mental Health State Classification Using Facial Emotion Recognition and Detection

Autori: Al-zanam, Adel Aref Ali Hussein Alhomery, Omer Hussein Abdou Elsayed Tan, Choo Peng

Zdroj: International Journal on Advanced Science, Engineering and Information Technology. 13:2274-2281

Predmety: Artificial neural network, Artificial intelligence, Facial expression, Support vector machine, Feature (linguistics), Social Sciences, Experimental and Cognitive Psychology, Convolutional neural network, Pattern recognition (psychology), 7. Clean energy, QA273-280 Probabilities. Mathematical statistics, Field (mathematics), Machine learning, FOS: Mathematics, Psychology, 10. No inequality, Preprocessor, Perceptron, Pure mathematics, Linguistics, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, Facial Expression, Philosophy, Emotion Recognition, Affective Computing, Emotion classification, FOS: Languages and literature, Feature extraction, Mathematics, Emotion Recognition and Analysis in Multimodal Data

Popis súboru: text

Speech emotion recognition using overlapping sliding window and Shapley additive explainable deep neural network

Autori: Nhat Truong Pham Sy Dzung Nguyen Vu Song Thuy Nguyen a ďalší

Zdroj: Journal of Information and Telecommunication, Vol 7, Iss 3, Pp 317-335 (2023)

Predmety: Artificial neural network, Artificial intelligence, Sliding window protocol, Audio Signal Classification and Analysis, Social Sciences, Experimental and Cognitive Psychology, Set (abstract data type), TK5101-6720, Information technology, Speech recognition, Pattern recognition (psychology), pattern recognition network, Environmental Sound Recognition, Artificial Intelligence, Deep neural networks, Machine learning, Psychology, overlapping sliding window, Window (computing), Audio Event Detection, Deep learning, T58.5-58.64, Computer science, Programming language, 3. Good health, FOS: Psychology, Operating system, Sentiment Analysis and Opinion Mining, speech emotion recognition, Categorization, Emotion Recognition, Signal Processing, Computer Science, Physical Sciences, Affective Computing, Telecommunication, Feature extraction, Emotion recognition, Classifier (UML), SHAP analysis, Speech Emotion, Emotion Recognition and Analysis in Multimodal Data

Prístupová URL adresa: https://doaj.org/article/3b217879c86044e79f8b4251af90b877

DeepCNN: Spectro‐temporal feature representation for speech emotion recognition

Autori: Nasir Saleem Jiechao Gao Rizwana Irfan a ďalší

Zdroj: CAAI Transactions on Intelligence Technology, Vol 8, Iss 2, Pp 401-417 (2023)

Predmety: Artificial neural network, Artificial intelligence, Feature (linguistics), FOS: Political science, Audio Signal Classification and Analysis, Social Sciences, Experimental and Cognitive Psychology, Convolutional neural network, FOS: Law, 02 engineering and technology, Speech recognition, Pattern recognition (psychology), 01 natural sciences, Leverage (statistics), decision making, QA76.75-76.765, Environmental Sound Recognition, Convolution (computer science), 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Computer software, Speech Enhancement Techniques, Audio-Visual Speech Recognition, Political science, Audio Event Detection, Politics, deep learning, Linguistics, Computer science, FOS: Philosophy, ethics and religion, FOS: Psychology, Philosophy, Emotion Recognition, Signal Processing, Computer Science, Physical Sciences, Affective Computing, Computational linguistics. Natural language processing, FOS: Languages and literature, Feature extraction, P98-98.5, Representation (politics), Law, Emotion Recognition and Analysis in Multimodal Data

Prístupová URL adresa: https://doaj.org/article/9ab1c70d6d5b4ebda06b843270d2ceac

Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations

Autori: Dou Hu Yinan Bao Lingwei Wei a ďalší

Zdroj: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :10835-10852

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial intelligence, Class (philosophy), Computer Science - Artificial Intelligence, Feature (linguistics), Robustness (evolution), Social Sciences, Experimental and Cognitive Psychology, Boosting (machine learning), Adversarial system, Pattern recognition (psychology), Biochemistry, Gene, Feature Extraction, Machine Learning (cs.LG), Anomaly Detection in High-Dimensional Data, Context (archaeology), Artificial Intelligence, Aspect-based Sentiment Analysis, Machine learning, Psychology, Biology, Computer Science - Computation and Language, Natural language processing, Feature learning, Paleontology, Linguistics, Computer science, FOS: Philosophy, ethics and religion, FOS: Psychology, Chemistry, Philosophy, Artificial Intelligence (cs.AI), Sentiment Analysis and Opinion Mining, Emotion Recognition, Computer Science, Physical Sciences, Affective Computing, FOS: Languages and literature, Computation and Language (cs.CL), Consistency (knowledge bases), Emotion Recognition and Analysis in Multimodal Data

Prístupová URL adresa: http://arxiv.org/abs/2306.01505

Deciphering Emotions in Children's Storybooks: A Comparative Analysis of Multimodal LLMs in Educational Applications.

Autori: Asseri, Bushra Abaker, Estabrag Al Mogren, Maha a ďalší

Zdroj: AI; Sep2025, Vol. 6 Issue 9, p211, 22p

Predmety: EMOTION recognition, ARABIC language, LANGUAGE models, EDUCATIONAL technology, CULTURAL competence, CHILDREN'S books, ARTIFICIAL intelligence

BiTCAN: An emotion recognition network based on saliency in brain cognition

Autori: Yanling An Shaohai Hu Shuaiqi Liu a ďalší

Zdroj: Mathematical Biosciences and Engineering, Vol 20, Iss 12, Pp 21537-21562 (2023)

Predmety: Artificial intelligence, Cognitive Neuroscience, Emotions, Social Sciences, Experimental and Cognitive Psychology, Lateralization of brain function, Convolutional neural network, bi-hemispheric discrepancy, Speech recognition, Pattern recognition (psychology), EEG Analysis, Cognition, Artificial Intelligence, Cognitive psychology, emotion recognition, spatial attention, QA1-939, Psychology, Eye Tracking in Human-Computer Interaction, Deep Learning for EEG, spatio-temporal features, Brain, Life Sciences, Electroencephalography, Brain-Computer Interfaces in Neuroscience and Medicine, Computer science, FOS: Psychology, Human-Computer Interaction, Head Gesture Recognition, Emotion Recognition, Computer Science, Physical Sciences, Affective Computing, Emotion recognition, eeg, Classifier (UML), attention mechanism, TP248.13-248.65, Mathematics, Algorithms, Biotechnology, Emotion Recognition and Analysis in Multimodal Data, Neuroscience

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38124609
https://doaj.org/article/35f52e5c3d4a4daab5ba9da096d97a60

Emotion Recognition from Microblog Managing Emoticon with Text and Classifying using 1D CNN

Autori: Md. Ahsan Habib M. A. H. Akhand Md Abdus Samad Kamal

Zdroj: Journal of Computer Science. 18:1170-1178

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial intelligence, Natural language processing, Social Sciences, Experimental and Cognitive Psychology, 02 engineering and technology, Pattern recognition (psychology), Computer science, Machine Learning (cs.LG), FOS: Psychology, Social media, World Wide Web, Sentiment Analysis and Opinion Mining, Artificial Intelligence, Emotion Recognition, Computer Science, Physical Sciences, Multi-label Text Classification in Machine Learning, Microblogging, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Information retrieval, Emotion Recognition and Analysis in Multimodal Data

Prístupová URL adresa: http://arxiv.org/abs/2301.02971

Multistep Deep System for Multimodal Emotion Detection With Invalid Data in the Internet of Things

Autori: Minjia Li Liang‐Liang Xie Zhen Lv a ďalší

Zdroj: IEEE Access, Vol 8, Pp 187208-187221 (2020)

Predmety: Artificial intelligence, Cognitive Neuroscience, Internet of Things, Social Sciences, Experimental and Cognitive Psychology, 02 engineering and technology, COMPUTATION, Databases, HEALTH-CARE IOT, Engineering, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Dynamics of Urban Structure through Spatial Network Analysis, Data mining, multimodal emotion detection, Life Sciences, Brain-Computer Interfaces in Neuroscience and Medicine, Computer science, Semantics, TK1-9971, multi-step deep (MSD) system, FOS: Psychology, Urban Studies, deep neural networks, Emotion Recognition, Task analysis, Computer Science, Affective Computing, Telecommunications, Feature extraction, Electrical & Electronic, Emotion recognition, Electrical engineering. Electronics. Nuclear engineering, invalid data, Multimodal Data, Biomedical monitoring, Information Systems, Emotion Recognition and Analysis in Multimodal Data, Neuroscience

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09216023.pdf
https://doaj.org/article/5676a3c3b0a345d3b5d28e8dce27717c
https://dblp.uni-trier.de/db/journals/access/access8.html#LiXLLW20
https://doaj.org/article/5676a3c3b0a345d3b5d28e8dce27717c
https://ieeexplore.ieee.org/abstract/document/9216023

Multi-Label and Multimodal Classifier for Affective States Recognition in Virtual Rehabilitation

Autori: Jesus Joel Rivas Maria del Carmen Lara Luis Castrejon a ďalší

Zdroj: IEEE Transactions on Affective Computing. 13:1183-1194

Predmety: Technology, Artificial intelligence, classifier chains, 1702 Cognitive Sciences, Social Sciences, facial expressions, 02 engineering and technology, Anxiety, Pattern recognition (psychology), Computer Science, Artificial Intelligence, Affective states, virtual rehabilitation, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Computer Science, Cybernetics, affective states' dependency relationships, posture, multi-label classification, Psychiatry, hand movements, Deep Learning Applications in Healthcare, Life Sciences, Brain-Computer Interfaces in Neuroscience and Medicine, stroke, FOS: Psychology, Notation, Emotion Recognition, Physical Sciences, Multimodal Data, 0305 other medical science, Cybernetics, Emotion Recognition and Analysis in Multimodal Data, Cognitive Neuroscience, Experimental and Cognitive Psychology, 03 medical and health sciences, FACE, Artificial Intelligence, Machine learning, EMOTION, 0801 Artificial Intelligence and Image Processing, FOS: Mathematics, Science & Technology, Arithmetic, multimodal classification, Medical Concept Embedding, Computer science, Semi-Naive Bayesian classifier, 0806 Information Systems, finger pressure, Computer Science, Affective Computing, Classifier (UML), Mathematics, Neuroscience

Prístupová URL adresa: https://ieeexplore.ieee.org/document/9343722
http://hdl.handle.net/10044/1/87480
https://discovery-pp.ucl.ac.uk/id/eprint/10119583/

Adaptive Multimodal Emotion Detection Architecture for Social Robots

Autori: Juan Heredia Edmundo Lopes-Silva Yudith Cardinale a ďalší

Zdroj: IEEE Access, Vol 10, Pp 20727-20744 (2022)

Predmety: Artificial intelligence, Robot, Social Sciences, 02 engineering and technology, Anger, Modality (human–computer interaction), 01 natural sciences, Human–robot interaction, Context (archaeology), Sociology, 0202 electrical engineering, electronic engineering, information engineering, Psychology, 10. No inequality, Robot control, Psychiatry, Human–computer interaction, Human Perception of Robots, Emotion Perception, Social science, FOS: Sociology, 3. Good health, FOS: Psychology, Emotion Recognition, Social robot, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Emotion Recognition and Analysis in Multimodal Data, Social Interaction with Robots, fusion process, Social Psychology, Experimental and Cognitive Psychology, social robots, Human-Robot Interaction, Modalities, Artificial Intelligence, Sadness, Machine learning, Mobile robot, Biology, 0105 earth and related environmental sciences, Paleontology, Computer science, TK1-9971, Process (computing), Operating system, Sentiment Analysis and Opinion Mining, multimodal models, Computer Science, Affective Computing, Emotion recognition

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09705576.pdf
https://doaj.org/article/7a1a98c4b1a04c2eab82a412b108d741

Emotion Recognition using Multimodal Time Series

Autori: Botelho, Inês Alexandra Vieira Gamboa, Hugo RUN

Prispievatelia: Botelho, Inês Alexandra Vieira Gamboa, Hugo RUN

Predmety: Emotion Recognition, Physiological Signals, Voice Activity, Multimodal Data Fusion, Machine Learning, Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias

Popis súboru: application/pdf

Dostupnosť: http://hdl.handle.net/10362/188006