Emotional Intelligence

TRAMA

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.

SOMMARIO

.- 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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9789819650835
• Collana: Communications in Computer and Information Science
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: X, 246 p. 61 illus., 57 illus. in color.
• Pagine Arabe: 246
• Pagine Romane: x