Výsledky vyhľadávania - "Emotion Recognition and Analysis in Multimodal Data"

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

Audio Based Emotion Classification Using Classifier Ensemble

Autori: Abdul Mudassar Sana Ul Haq Muhammad Majid a ďalší

Zdroj: Pakistan Journal of Engineering, Technology & Science. 11:11-21

Predmety: Artificial intelligence, Audio Event Detection, 4. Education, Audio Signal Classification and Analysis, Social Sciences, Experimental and Cognitive Psychology, Application of Wireless Sensor Networks, Pattern recognition (psychology), Computer science, 7. Clean energy, FOS: Psychology, Engineering, Control and Systems Engineering, Emotion Recognition, Ensemble learning, Signal Processing, Computer Science, Physical Sciences, Audio Signal Classification, Affective Computing, Psychology, Classifier (UML), Speech Emotion, Emotion Recognition and Analysis in Multimodal Data

Exclusive Modeling for MuSe-Personalisation Challenge

Autori: Huanhuan Sun Zhuofan Wen Mingyu Xu a ďalší

Zdroj: Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, Humour and Personalisation. :73-80

Predmety: Artificial neural network, Artificial intelligence, Valence (chemistry), Personalization, Physics, Audio Signal Classification and Analysis, Social Sciences, Overfitting, Experimental and Cognitive Psychology, Computer science, Quantum mechanics, 7. Clean energy, Feature Extraction, FOS: Psychology, World Wide Web, Signal Processing, Computer Science, Physical Sciences, Machine learning, Psychology, Speech Enhancement Techniques, Arousal, Emotion Recognition and Analysis in Multimodal Data, Neuroscience

MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition

Autori: Licai Sun Zheng Lian Bin Liu a ďalší

Zdroj: Proceedings of the 31st ACM International Conference on Multimedia. :6110-6121

Predmety: FOS: Computer and information sciences, Artificial neural network, Artificial intelligence, Facial expression, Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computer Science - Human-Computer Interaction, Social Sciences, Experimental and Cognitive Psychology, Pattern recognition (psychology), Face Recognition, Quantum mechanics, Human-Computer Interaction (cs.HC), Field (mathematics), Machine learning, FOS: Mathematics, Psychology, Transformer, Physics, Pure mathematics, Deep learning, Voltage, Autoencoder, Computer science, Multimedia (cs.MM), Encoder, FOS: Psychology, Facial Expression, Algorithm, Operating system, Artificial Intelligence (cs.AI), Human Action Recognition and Pose Estimation, Emotion Recognition, Computer Science, Physical Sciences, Computation, Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques, Computer Science - Multimedia, Supervised learning, Mathematics, Emotion Recognition and Analysis in Multimodal Data

Prístupová URL adresa: http://arxiv.org/abs/2307.02227

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

A Comprehensive Review: Interaction of Appearance and Behavior, Artificial Skin, and Humanoid Robot

Autori: Nguyen Minh Trieu Nguyen Truong Thinh

Zdroj: Journal of Robotics, Vol 2023 (2023)

Predmety: 0209 industrial biotechnology, Social Interaction with Robots, Artificial intelligence, Social Psychology, Robot, Premise, Social Sciences, Experimental and Cognitive Psychology, 02 engineering and technology, Humanoid robot, Human-Robot Interaction, Socially Assistive Robotics, Gesture, Android (operating system), TJ1-1570, 0202 electrical engineering, electronic engineering, information engineering, Robot Companionship, Psychology, Mechanical engineering and machinery, Face Recognition and Analysis Techniques, Human–computer interaction, Human Perception of Robots, Uncanny valley, Linguistics, Robotics, Computer science, Interactive Virtual Humans, FOS: Philosophy, ethics and religion, FOS: Psychology, Philosophy, Operating system, Computer Science, Physical Sciences, FOS: Languages and literature, Computer Vision and Pattern Recognition, Emotion Recognition and Analysis in Multimodal Data

Prístupová URL adresa: https://doaj.org/article/93017bdcf4d847f58510b5e2baab4c04

A survey on the pipeline evolution of facial capture and tracking for digital humans

Autori: Carlos Vilchis Carmina Perez-Guerrero Mauricio Méndez-Ruiz a ďalší

Zdroj: Multimedia Systems. 29:1917-1940

Predmety: Artificial intelligence, Cognitive Neuroscience, Computer animation, Social Sciences, Computer facial animation, Experimental and Cognitive Psychology, 02 engineering and technology, Face Recognition, Data science, Face Perception, Facial Landmark Detection, Facial Expression Analysis, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Face Recognition and Analysis Techniques, Neural Mechanisms of Face Perception and Recognition, Biology, Human–computer interaction, Computer graphics (images), Life Sciences, Animation, 16. Peace & justice, Computer science, Process (computing), Programming language, FOS: Psychology, Operating system, Interactivity, Multimedia, Computer Science, Physical Sciences, Affective Computing, Fidelity, Telecommunications, Perception, Pipeline (software), Computer Vision and Pattern Recognition, Rendering (computer graphics), Neuroscience, Emotion Recognition and Analysis in Multimodal Data

An automatic improved facial expression recognition for masked faces

Autori: Yasmeen ELsayed Ashraf Elsayed Makhmud Elsayed Mohamed A. Abdou

Zdroj: Neural Comput Appl

Predmety: Facial expression, Artificial intelligence, Social Sciences, Experimental and Cognitive Psychology, Speech recognition, Pattern recognition (psychology), Computational Science and Engineering, Facial Expression Analysis, Machine learning, Psychology, Face Recognition and Analysis Techniques, Facial recognition system, Feature Learning, Computer science, FOS: Psychology, Facial Expression, Emotion Recognition, Computer Science, Physical Sciences, Affective Computing, Original Article, Computer vision, Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques, Facial expression recognition, Emotion Recognition and Analysis in Multimodal Data

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37274419

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

Affective social anthropomorphic intelligent system

Autori: Md. Adyelullahil Mamun Hasnat Md. Abdullah Md. Golam Rabiul Alam a ďalší

Zdroj: Multimedia Tools and Applications. 82:35059-35090

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Artificial intelligence, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Audio Signal Classification and Analysis, Social Sciences, Experimental and Cognitive Psychology, Automatic Speech Recognition, Speech recognition, Quantum mechanics, Computer Science - Sound, Human-Computer Interaction (cs.HC), Machine Learning (cs.LG), End-to-End Speech Recognition, Artificial Intelligence, Conversation, Psychology, Spectrogram, Transformer, Computer Science - Computation and Language, Human–computer interaction, Physics, Linguistics, Voltage, Computer science, FOS: Philosophy, ethics and religion, FOS: Psychology, Speech Recognition Technology, Philosophy, Artificial Intelligence (cs.AI), Emotion Recognition, Computer Science, Physical Sciences, Signal Processing, Affective Computing, FOS: Languages and literature, Computation and Language (cs.CL), Speech Emotion, Emotion Recognition and Analysis in Multimodal Data

Prístupová URL adresa: http://arxiv.org/abs/2304.11046

A Real-Time Analytic Face Thermal Recognition System Integrated with Email Notification

Autori: Ranjit Singh T. Joseph Sahaya Anand Siti Aisyah Anas a ďalší

Zdroj: Engineering, Technology & Applied Science Research. 13:9961-9967

Predmety: Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Medical emergency, Social Sciences, Experimental and Cognitive Psychology, Infectious disease (medical specialty), 02 engineering and technology, Pattern recognition (psychology), 7. Clean energy, Real-time computing, Facial Expression Analysis, Computer security, Health Sciences, Pathology, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Disease, Face Recognition and Analysis Techniques, Facial recognition system, Pandemic, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Applications of Deep Learning in Medical Imaging, Computer science, Process (computing), 3. Good health, FOS: Psychology, Coronavirus disease 2019 (COVID-19), World Wide Web, Operating system, Notification system, Computer Science, Physical Sciences, Medicine, Computer Vision and Pattern Recognition, Emotion Recognition and Analysis in Multimodal Data

Emotional Vietnamese Speech Synthesis Using Style-Transfer Learning

Autori: Thanh X. Le An T. Le Quang H. Nguyen

Zdroj: Computer Systems Science and Engineering. 44:1263-1278

Predmety: Artificial intelligence, Sentence, Happiness, Social Sciences, Experimental and Cognitive Psychology, Vietnamese, Set (abstract data type), Epistemology, 02 engineering and technology, Speech recognition, Anger, Social psychology, 7. Clean energy, End-to-End Speech Recognition, Artificial Intelligence, Sadness, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Psychiatry, Natural language processing, Linguistics, Computer science, Mathematics education, Speech synthesis, FOS: Philosophy, ethics and religion, Programming language, FOS: Psychology, Speech Recognition Technology, Philosophy, Sentiment Analysis and Opinion Mining, Emotion Recognition, Computer Science, Physical Sciences, Affective Computing, Quality (philosophy), Fluency, FOS: Languages and literature, Speech Emotion, Emotion Recognition and Analysis in Multimodal Data

Suicide Ideation Detection of Covid Patients Using Machine Learning Algorithm

Autori: R. Punithavathi S. Thenmozhi R. Jothilakshmi a ďalší

Zdroj: Computer Systems Science and Engineering. 45:247-261

Predmety: Facial expression, Artificial intelligence, Support vector machine, Clinical psychology, Medical emergency, Social Sciences, Poison control, Experimental and Cognitive Psychology, Convolutional neural network, 02 engineering and technology, Anxiety, Psychological Distress, Social psychology, Feeling, Suicide prevention, Suicidal ideation, Cognitive psychology, Mood, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Psychology, 10. No inequality, Applied Psychology, Preprocessor, Psychiatry, Depression, 16. Peace & justice, Computer science, 3. Good health, FOS: Psychology, Algorithm, Clinical Psychology, Emotion Recognition, Affective Computing, Impact of COVID-19 on Mental Health, Emotional expression, Medicine, Digital Mental Health Interventions and Efficacy, Emotion Recognition and Analysis in Multimodal Data

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

Facial expression recognition using lightweight deep learning modeling

Autori: Mubashir Ahmad Saira Omar Alfandi a ďalší

Zdroj: Mathematical Biosciences and Engineering, Vol 20, Iss 5, Pp 8208-8225 (2023)

Predmety: Facial expression, Artificial intelligence, stacked sparse auto-encoder, Social Sciences, Experimental and Cognitive Psychology, 02 engineering and technology, Speech recognition, Pattern recognition (psychology), Deep Learning, Facial Landmark Detection, Facial Expression Analysis, QA1-939, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, facial expression recognition, Humans, Psychology, Face Recognition and Analysis Techniques, Facial recognition system, Feature Learning, Communication, deep learning, Deep learning, Fear, Computer science, FOS: Psychology, Facial Expression, machine learning, classification, Emotion Recognition, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques, Facial expression recognition, Facial Recognition, TP248.13-248.65, Mathematics, Biotechnology, Emotion Recognition and Analysis in Multimodal Data

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37161193
https://doaj.org/article/d7519910e084472fb79d3d2540b42532

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

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

Deep Learning for Depression Detection Using Twitter Data

Autori: Doaa Sami Khafaga Maheshwari Auvdaiappan K. Deepa a ďalší

Zdroj: Intelligent Automation & Soft Computing. 36:1301-1313

Predmety: Artificial neural network, Artificial intelligence, Support vector machine, Social Psychology, Feature (linguistics), Social Sciences, Experimental and Cognitive Psychology, Convolutional neural network, Anger, Depression Detection, 7. Clean energy, Social media, Deep Learning, Psychological Language Analysis in Social Media, Artificial Intelligence, Machine learning, Sadness, Psychology, 10. No inequality, Psychiatry, Deep learning, Linguistics, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, World Wide Web, Philosophy, Sentiment Analysis and Opinion Mining, Emotion Recognition, Computer Science, Physical Sciences, Affective Computing, Feature selection, FOS: Languages and literature, Supervised learning, Emotion Recognition and Analysis in Multimodal Data

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

Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction

Autori: Cam-Van Thi Nguyen Anh Tuan Son The a ďalší

Zdroj: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. :15154-15167

Predmety: FOS: Computer and information sciences, Artificial intelligence, Sentence, Economics, FOS: Political science, Social Sciences, Experimental and Cognitive Psychology, FOS: Law, Modality (human–computer interaction), Graph, Task (project management), Modalities, Context (archaeology), Theoretical computer science, Sociology, Artificial Intelligence, Conversation, Psychology, Political science, Biology, Natural Language Processing, Computer Science - Computation and Language, Natural language processing, Communication, Multimodal Interaction, Word Representation, Politics, Paleontology, Social science, Computer science, Multimedia (cs.MM), Management, FOS: Sociology, FOS: Psychology, Emotion Recognition, Dialogue Act Modeling for Spoken Language Systems, Computer Science, Physical Sciences, Affective Computing, Multimodal Data, Computation and Language (cs.CL), Utterance, Representation (politics), Law, Computer Science - Multimedia, Emotion Recognition and Analysis in Multimodal Data

Prístupová URL adresa: http://arxiv.org/abs/2311.04507