25Jan/102
About Face! The MIT Media Lab assesses microexpressions
by Jillian Ketterer
When I was catching up on posts from one of my favorite blogs, Brain Pickings, I stumbled upon this post about a software application developed by the Affective Computing Group at the MIT Media Lab. The application, called FaceSense, detects and analyzes facial gestures in real-time, and then uses that information to make inferences about the person's mood and emotional state. As Brain Pickings points out:
An accurate disposition detection model for video can be used in anything from analyzing politicians’ televised appearances to testing news anchors for bias.
The possibilities - both wonderful and nefarious - are endless. Check out the video to find out more!
18Oct/090
Slides
by Jillian Ketterer
A few notes to the viewer:
- Please feel free to use and share these slides. If you do use them, give us some "props" via citation or attribution. It doesn't have to be fancy. We appreciate it!
- These slides and the content within them only represent the thoughts of the listed author, and do not reflect the beliefs of any overarching organization or entity. Or, if they do, it we didn't do it on purpose. Boy, this is getting complicated.
- Just one more thing: While each of the ambassadors certainly strives to fact-check our research and ensure the accuracy of the information in our slides, none of us is claiming to be an expert. These slides are as much a documentation of our learning as they are (hopefully) informative for others.
Have at it!
