04550nam 22006855 450 991100255600332120250508130258.0981-9650-84-410.1007/978-981-96-5084-2(CKB)38753575600041(DE-He213)978-981-96-5084-2(MiAaPQ)EBC32093226(Au-PeEL)EBL32093226(OCoLC)1524422098(EXLCZ)993875357560004120250508d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierEmotional Intelligence Second CSIG Conference, CEI 2024, Nanjing, China, December 6-8, 2024, Proceedings /edited by Xiaohua Huang, Qirong Mao1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (X, 246 p. 61 illus., 57 illus. in color.) Communications in Computer and Information Science,1865-0937 ;2450981-9650-83-6 -- Emotional Intelligence Surveys and Databases. -- Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond. -- REFN: A Multimodal Database for Emotion Analysis Using Functional Near-infrared Spectroscopy. -- Emotional Intelligence Methods. -- EIDA: Explicit- and Implicit-space Self-supervised Learning for Visual Emotion Adaptation. -- A Three streams Convolutional Transformer Fusion Model for Facial Macro- and Micro-Expressions Spotting. -- Facial Action Unit Recognition with Micro-Action-Aware Transformer. -- Local and Global Iterative Adaptation Based on Meta learning for Source-free Cross-Corpus Speech Emotion Recognition. -- Decoupled Representation with Multimodal Prompts for Emotion Recognition in Conversation. -- Emotional Intelligence Applications. -- Generative Text Prompts for Image Aesthetic Quality Assessment. -- Large Language Model Enhanced Fuzzy Logic Fusion Framework for Stance Detection. -- Skeleton-based Online Action Detection with Temporal Enhancement. -- Fine-Grained Spatial-Temporal Framework for Engagement Prediction. -- Multimodal Engagement Recognition by fusing Transformer and Bi-LSTM. -- Emotional Interaction Hardware Design for Wrist Rehabilitation Based on Secondary Fuzzy Reasoning. -- Attention-Based Audio Depression Recognition Integrating Handcrafted and Deep Features. -- STC-ND: Leveraging Spatialtemporal Characteristics with NeXtVLAD for Depression Detection from Few-Channel EEG Signals. -- DepLLM: Fine-Tuning Large Language Models with a Chinese Dialogue Dataset for Depression Diagnosis via Mixture of Specialized Experts.This book constitutes the proceedings of the Second CSIG Conference on Emotional Intelligence, CEI 2024, held in Nanjing, China during December 6-8, 2024. The 14 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 41 submissions. These papers have been categorized under the following topical sections: Emotional Intelligence Surveys and Databases; Emotional Intelligence Methods; Emotional Intelligence Applications.Communications in Computer and Information Science,1865-0937 ;2450Computer visionNatural language processing (Computer science)Pattern recognition systemsMachine learningSocial sciencesData processingComputer VisionNatural Language Processing (NLP)Automated Pattern RecognitionMachine LearningComputer Application in Social and Behavioral SciencesComputer vision.Natural language processing (Computer science)Pattern recognition systems.Machine learning.Social sciencesData processing.Computer Vision.Natural Language Processing (NLP).Automated Pattern Recognition.Machine Learning.Computer Application in Social and Behavioral Sciences.006.37Huang Xiaohuaedthttp://id.loc.gov/vocabulary/relators/edtMao Qirongedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9911002556003321Emotional Intelligence2957252UNINA