FaceSense: Mind-reading from MIT
70’s-style mind-reading for the digital age, or why we all say one thing and mean another.
We have a longstanding fascination with the human face and the wealth of data that it holds. Now, the Affective Computing Group at the MIT Media Lab (another Brain Pickings darling) has developed FaceSense — a software application that detects head and face gestures in real time, analyzes them and deduces information about the person’s emotional disposition and mental state.
The principle, of course, is nothing new — back in the late 70’s, legendary psychologist Paul Ekman pioneered FACS, the Facial Actions Coding System, which is used to this day by anyone from academic researchers to the CIA to draw information about cognitive-affective states based on the micromuscle contractions of the human face. Though the MIT project doesn’t explicitly disclose it, we bet the data encoding is based, at least to some degree, on FACS.
But what makes FaceSense different and important is that it enables the extraction of such cognitive-affective information from pre-recorded video. And in the midst of all the neuromarketing hype — which is, for the most part, just that: hype — it offers an interesting model for collecting consumer psychology insight remotely, a scalable and useful tool for the age of telecommuting and sentiment analysis. What’s more, it helps bypass the quintessential unreliability of self-report in product testing.
Its applications can, of course, extend far beyond the marketing industry. An accurate disposition detection model for video can be used in anything from analyzing politicians’ televised appearances to testing news anchors for bias. And, judging by the abundance of all things video at CES this year, FaceSense has firmly planted its feet in a rich and ever-expanding space.
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FaceSense: Mind-reading from MIT | Brain Pickings http://bit.ly/7VPQ7e (via feedly)
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FaceSense – new software from MIT @MediaLab analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj
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RT @brainpicker
FaceSense – new software from MIT @MediaLab analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj
This comment was originally posted on Twitter
RT @brainpicker: FaceSense – new software from MIT @MediaLab analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj
This comment was originally posted on Twitter
RT @brainpicker: FaceSense – new software from MIT @MediaLab analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj
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Neuromarketing… RT @brainpicker: new software from MIT analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj
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Cool! FaceSense – new software from MIT @MediaLab analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj (via @brainpicker)
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[GReader] FaceSense: Mind-reading from MIT http://bit.ly/5W36VY
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FaceSense: Mind-reading from MIT http://bit.ly/7XsMje
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RT @aymanvanbregt: FaceSense: Mind-reading from MIT http://bit.ly/7XsMje
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“70’s-style mind-reading for the digital age, or why we all say one thing and mean another.” http://bit.ly/73lp2a
This comment was originally posted on Twitter
FaceSense – new software from MIT @MediaLab analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj (via @brainpicker)
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#DelicioBot : FaceSense: Mind-reading from MIT | Brain Pickings http://bit.ly/845Pe1
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RT @LenKendall: “70’s-style mind-reading for the digital age, or why we all say one thing and mean another.” http://bit.ly/73lp2a
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RT @brainpicker: FaceSense – new software from MIT @MediaLab analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj
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RT @lupeke: FaceSense – new software from MIT @MediaLab analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj (via @br …
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FaceSense: A face-detection software attempts to deduce emotional state in real-time http://bit.ly/5Rloie /via @brainpicker
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WOW.. This can be very useful for Marketers! FaceSense software reads the expressions of your face.. http://bit.ly/7gqDYv
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[...] FaceSense: Mind-reading from MIT January 12th, 2010 [...]
RT @brainpicker: new software from MIT analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj
This comment was originally posted on Twitter
New software from MIT analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj
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RT @christophemorin RT @brainpicker: new software from MIT analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj
This comment was originally posted on Twitter
FaceSense – breakthrough MIT Media Lab software analyzes facial gestures in video to deduce emotions http://ow.ly/VBIj
This comment was originally posted on Twitter
RT @brainpicker: FaceSense – breakthrough MIT Media Lab software analyzes facial gestures in video to deduce emotions http://ow.ly/VBIj
This comment was originally posted on Twitter
RT @brainpicker: FaceSense – breakthrough MIT Media Lab software analyzes facial gestures in video to deduce emotions http://ow.ly/VBIj
This comment was originally posted on Twitter
RT @brainpicker: FaceSense – breakthrough MIT Media Lab software analyzes facial gestures in video to deduce emotions http://ow.ly/VBIj
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???????? RT @brainpicker: FaceSense – MIT Media Lab software analyzes facial gestures in video to deduce emotions http://ow.ly/VBIj
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My poker face is in trouble HT@brainpicker: FaceSense MIT software analyzes facial gestures in video to deduce emotions http://ow.ly/VBIj
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RT @brainpicker: FaceSense – breakthrough MIT Media Lab software analyzes facial gestures in video to deduce emotions http://ow.ly/VBIj
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FaceSense (MIT Media Lab) tool used to deduce emotions for Customer Experience design http://ow.ly/VBIj via @brainpicker
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This is amazing and a little scary. FaceSense: Mind-reading from MIT http://j.mp/6JtWtN
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RT @JessicaColaco: FaceSense – breakthrough MIT Media Lab software analyzes facial gestures in video to deduce emotions ! http://ow.ly/VBIj
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RT @finikiotis: FaceSense (MIT Media Lab) tool used to deduce emotions for Customer Experience design http://ow.ly/VBIj via @brainpicker
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RT @christophemorin: RT @brainpicker: new software from MIT analyzes facial gestures in video to read sentiment http://ow.ly/VBIj
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FaceSense: Mind-reading from MIT http://bit.ly/4yQcUk [will the real time web give birth to new big brothers?]
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RT @tdebaillon: FaceSense: Mind-reading from MIT http://bit.ly/4yQcUk [will the real time web give birth to new big brothers?]
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Old techniques put into a product. Nice, but quite simplistic http://www.brainpickings.org/index.php/2010/01/12/facesense/
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RT @christophemorin: RT @brainpicker: new software from MIT analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj
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Interesting.. RT @ValeskaUX: Mind-reading FaceSense analyzes face gestures in realtime,deducing emotional/mental states http://bit.ly/4TMNPE
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RT @QaalfaDibeehi: New software from MIT analyzes facial gestures in video to “read” sentiment http://ow.ly/VBIj
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MIT #MediaLab #FaceSense sfwr analyzes #realtime head/face gestures, detects emotional/mental state from video http://tinyurl.com/yz5shwh)
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FaceSense: Mind-reading from MIT http://ff.im/-enBdI
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FaceSense: Mind-reading from MIT http://www.brainpickings.org/index.php/2010/01/12/facesense/
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RT: @daveberman Check out this article on Affectiva (my new company) http://www.brainpickings.org/index.php/2010/01/12/facesense/ neat!
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Mind-reading for the digital era: MIT software that analyses your emotional bodylanguage http://bit.ly/7F5KlZ (via @brainpickings)
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WSJ covers the MIT’s FaceSense emotion-reading software we featured 10 days ago (http://is.gd/6PJQQ) http://is.gd/6PJMs
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RT @brainpicker: WSJ covers the MIT’s FaceSense emotion-reading software we featured 10 days ago (http://is.gd/6PJQQ) http://is.gd/6PJMs
This comment was originally posted on Twitter
[...] 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 [...]