Engagement Analysis Through Computer Vision

被引：5

作者：

MacHardy, Zachary M. ^{[1
]}

Syharath, Kenneth ^{[1
]}

Dewan, Prasun ^{[1
]}

机构：

[1] Univ North Carolina Chapel Hill, Dept Comp Sci, Chapel Hill, NC 27599 USA

来源：

PROCEEDINGS OF THE 2012 8TH INTERNATIONAL CONFERENCE ON COLLABORATIVE COMPUTING: NETWORKING, APPLICATIONS AND WORKSHARING (COLLABORATECOM 2012) | 2012年

关键词：

Computer Vision; Machine Learning; Distance Lecturing; Online Presentations;

D O I：

10.4108/icst.collaboratecom.2012.250429

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As distributed online communication becomes increasingly common, and audiences for live online presentations grow larger, the ability to receive meaningful feedback from audience members who are distant and distributed becomes a necessity. To this end, we have built upon previous work to create a tool that is capable of providing real time feedback to an online presenter about the engagement level of the audience. The tool makes inferences by using computer vision and machine learning techniques to analyze the faces of audience members.

引用

页码：535 / 539

页数：5

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