Track 3: 情感识别与分析
Track Chair高喆(副教授) 上海师范大学 |
Track Co-chair程猛(副教授) 上海师范大学 |
★ Introduction:
In the era of digital intelligence, artificial intelligence must not only understand human instructions but also grasp the emotions and intentions behind them. Emotion recognition and analysis, as a core branch of affective computing and AI, is advancing at an unprecedented pace and profoundly reshaping numerous fields, including human–computer interaction, healthcare, business intelligence, and security monitoring. Centered on the theme of “Emotion Recognition and Analysis,” this forum will focus on key issues such as multimodal emotion recognition, model construction and algorithmic innovation, emotion data mining, annotation and analysis, as well as practical applications of affective computing, with the aim of contributing to technological progress in related domains.
数智时代,人工智能不仅需要理解人类的指令,更需要洞悉指令背后的情感与意图。情感识别与分析是情感计算与人工智能的核心分支,目前正以前所未有的速度发展并深刻改变着包括人机交互、医疗健康、商业智能、安全监控在内的众多领域。本论坛以“情感识别与分析”为主题,聚焦多模态情感识别,模型构建与算法创新,情感数据挖掘、标注与分析,情感计算的应用与落地等关键问题,旨在为相关领域的技术发展做出贡献。
★ List some of the topics, but are not limited to:
Unimodal and Multimodal Emotion Recognition and Analysis 单一与多模态的情感识别与分析
Model Development and Algorithmic Innovation 模型构建与算法创新
Emotion Data Mining, Annotation, and Analysis 情感数据的挖掘、标注与分析
Applications and Implementation of Affective Computing 情感计算的应用与落地