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三维空间自动影响预测与分类框架设计

Designing Frameworks for Automatic Affect Prediction and Classification in Dimensional Space
课程网址: http://videolectures.net/gesturerecognition2011_pantic_designing/  
主讲教师: Maja Pantic
开课单位: 帝国理工学院
开课时间: 2011-08-24
课程语种: 英语
中文简介:
一个被广泛接受的预测是,计算将移动到背景,将自身编织到日常生活空间的结构中,并将人类用户投影到前景中。为了实现这种预测,下一代计算应该开发以人为中心、为人类构建的、基于自然发生的多模态人类行为(如情感和社会信号)的预期用户界面。面部行为是我们传递情感和社会信号的主要手段。本文讨论了人类面部行为的一些组成部分,它们如何被计算机自动感知和分析,伦敦帝国理工学院的iBUG小组过去在该领域的研究是什么,以及我们离让计算机理解人类面部行为还有多远。**//免责声明:/由于口译员不是相关领域的专家,在没有全面准备的情况下进行同声翻译,因此口译可能存在错误或遗漏。**
课程简介: A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. To realize this prediction, next-generation computing should develop anticipatory user interfaces that are human-centred, built for humans, and based on naturally occurring multimodal human behaviour such as affective and social signaling. The facial behaviour is our preeminent means to communicating affective and social signals. This talk discusses a number of components of human facial behavior, how they can be automatically sensed and analysed by computer, what is the past research in the field conducted by the iBUG group at Imperial College London, and how far we are from enabling computers to understand human facial behavior. **//Disclaimer:// There may be mistakes or omissions in the interpretation as the interpreters are not experts in the field of interest and performed a simultaneous translation without comprehensive preparation.**
关 键 词: 多模态人类行为; 社会信号; 面部行为
课程来源: 视频讲座网
最后编审: 2020-01-16:chenxin
阅读次数: 46