Human Behavior Analysis and Interaction for Emotional Intelligence

.- Introductory Position Paper.

.- Human Behavior Analysis and Interaction for Emotional Intelligence: Advances,
Challenges, and the Road Ahead.

.- Session 1: Micro-Gesture Challenge and Recognition.

.- Self-supervised Learning Matters: A Simple Ensemble Solution for Micro-Gesture
Recognition.

.- SwinT-Enhanced Class-Wise Fusion for Micro-Gesture Classification.

.- Skeleton-Based Micro-Gesture Recognition via Information Bottleneck Memory
and Joint-Bone Mutual Alignment.

.- A Multi-Modal Framework with Cross-Subject Pseudo-Labeling and Semantic
Alignment for Micro-Gesture Recognition.

.- Spatial-Temporal Decoupled Adapter for Micro-gesture Online Recognition.

.- Motion Reinforces Appearance: RGB-Skeleton Gated Residual Fusion for Micro
Gesture Online Recognition.

.- A Lightweight Skeleton Candidate Refinement Framework for Track 2 Online
Micro-gesture Recognition.

.- Rethinking the Role of Feature Engineering and Learning Strategies in Few
Shot Hidden Emotion Recognition.

.- Session 2: Explainability in Emotional Intelligence.

.- TempA: Temporal Alignment of Human Expert-referenced with Model-Inferred
Acoustic Concepts for Speech Emotion Recognition.

.- HateScan: A Multimodal Web Application for Hate Speech Classification with
Sentence-Level Analysis.

.- TSA-LLM: ASurvey of Time-Step Alignment on Speech Large Language Models.

.- Session 3: Affective Interaction and Social Computing.

.- Richness-Aware Modality-Role Assignment for Multimodal Emotional Dialogue
Generation.

.- Auditing Implicit Sycophancy in Mental-health Dialogue: Structured Clinical
state Diagnostics and Clean Matched Benchmarks.

• Erscheinungsdatum: 11.08.2026
• Autor/Autorin: Haoyu Chen
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 15 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 226 Seiten
• ISBN: 9789819245291
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.