Jay Olshansky, PhD, a researcher at the University of Illinois, is working on a new method to predict the life expectancy of a person that is based on facial recognition technology, according to a report in the Washington Post.
The inspiration came from a conversation with a security company worker, who observed that the time to evaluate life expectancies is very short. Olshansky told the Post that “some people tend to grow older more rapidly than others, and some more slowly.” He added that “the children of people who senesce more slowly tend to live longer than other people.”
While this new methodology would be useful for insurance companies to calculate premiums, Professor Olshansky stated that it could also serve to motivate people to make healthier lifestyle decisions.
Olshasky worked alongside Dr. Karl Ricanek, a facial recognition expert from the University of North Carolina who has carried out projects with the NSA, FBI, and the CIA. They developed a program that enabled individuals to utilize a photograph of their face for an extrapolation of data on the process of aging.