Source: NYTimes, Jan 2011
The cost of storing images is dropping, and new software algorithms for mining, matching and scrutinizing the flood of visual data are progressing swiftly.
“Your heart-rate signal is in your face,” said Ming-zher Poh, an M.I.T. graduate student. Other vital signs, including breathing rate, blood-oxygen level and blood pressure, should leave similar color and movement clues.
Faces can yield all sorts of information to watchful computers, and the M.I.T. students’ adviser, Dr. Picard, is a pioneer in the field, especially in the use of computing to measure and communicate emotions. For years, she and a research scientist at the university, Rana el-Kaliouby, have applied facial-expression analysis software to help young people withautism better recognize the emotional signals from others that they have such a hard time understanding.
The two women are the co-founders of Affectiva, a company in Waltham, Mass., that is beginning to market its facial-expression analysis software to manufacturers of consumer products, retailers, marketers and movie studios. Its mission is to mine consumers’ emotional responses to improve the designs and marketing campaigns of products.
Affectiva’s technology promises to give marketers an impartial reading of the sequence of emotions that leads to a purchase, in a way that focus groups and customer surveys cannot. “You can see and analyze how people are reacting in real time, not what they are saying later, when they are often trying to be polite,” he said. The technology, he added, is more scientific and less costly than having humans look at store surveillance videos, which some retailers do.