Companies are developing software to analyze our fleeting facial expressions and to get at the emotions behind them.
Via AnalyticsInnovations, luiy, juandoming
|
Rescooped by
michel verstrepen
from A New Society, a new education!
onto Rapid eLearning December 1, 2013 2:29 PM
|
Scoop.it!
Via AnalyticsInnovations, luiy, juandoming
Your new post is loading...
Ever since Darwin, scientists have systematically analyzed facial expressions, finding that many of them are universal. Humans are remarkably consistent in the way their noses wrinkle, say, or their eyebrows move as they experience certain emotions. People can be trained to note tiny changes in facial muscles, learning to distinguish common expressions by studying photographs and video. Now computers can be programmed to make those distinctions, too.
Companies in this field include Affectiva, based in Waltham, Mass., and Emotient, based in San Diego. Affectiva used webcams over two and a half years to accumulate and classify about 1.5 billion emotional reactions from people who gave permission to be recorded as they watched streaming video, said Rana el-Kaliouby, the company’s co-founder and chief science officer. These recordings served as a database to create the company’s face-reading software, which it will offer to mobile software developers starting in mid-January.
This is an emerging field and complements some of the post GFC analytics . e.g. people who take less than 3 weeks leave in 1 stint are more likely to have breached policies...add to that facial and voice recognition. A UK university was looking at IR camera's in immigration based upon the hypothesis that 'untruth' caused greater brain activity that could be picked up on an IR camera as a trigger for deeper enquiry. Sentiment++
Information from faces ans how to turn information into knowledge