Women who're not comfortable revealing their age should stay miles away from University of Illinois-developed computer software that reveals a person's age just by looking at his or her face.
But, unlike age-guessers at carnivals, who look at a person's body, the software works by examining only the person's face.
Gaming: Teenagers and Socializing in the 21st Century
Contrary to popular belief, video games don't turn teens into anti-social loners, in fact, they make them get more involved with friends and community, says a report.
Advertisement
"Age-estimation software is useful in applications where you don't need to specifically identify someone, such as a government employee, but would like to know their age," said Thomas S. Huang, the William L. Everitt Distinguished Professor of Electrical and Computer Engineering at the U. of I.
The software, said Huang, can be useful in many ways-age-recognition algorithms could stop underage drinkers from entering bars, prevent minors from purchasing tobacco products from vending machines, and deny children access to adult Web sites.
![Is Porn Gone? Internet Users’ Web Searchers Show More ‘diversified’ Interest]( "Is Porn Gone? Internet Users’ Web Searchers Show More ‘diversified’ Interest")
Social networking sites are the biggest drawers, when it comes to Internet searches, dethroning online pornography, according to a new survey, which has provided an up-to-date view
However, it's not easy to estimate someone's age, partly because the aging process is determined not only by a person's genetic makeup, but by many other factors as well, including health, location and living conditions.
"Human faces do convey a significant amount of information, however, and provide important visual cues for estimating age. Facial attributes, such as expression, gender and ethnic origin, play a crucial role in our image analysis," said Huang.
The age-estimation software was trained on a database containing photos of 1,600 faces, and consists of three modules - face detection, discriminative manifold learning, and multiple linear regressions.
It can estimate ages from 1 year to 93 years. It's accuracy ranges from about 50 percent when estimating ages to within 5 years, to more than 80 percent when estimating ages to within 10 years. Huang said that the accuracy can be improved by additional training on larger databases of faces.
Apart from performing tasks such as security control and surveillance monitoring, the software also could be used for electronic customer relationship management.
For example, a camera snapping photos of customers could collect demographic data - such as how many adult men and women buy burgers, or what percentage of teenagers purchase a particular soft drink.
Also, if combined with algorithms that identify a person's sex, age-estimation software could help target specific audiences for specific advertisements. For example, a store display might advertise a new automobile or boat as a man walks by, or new clothing or cosmetics as a woman walks by.
"All of this can be done without violating anyone's privacy. Our software does not identify specific individuals. It just estimates their ages," said Huang.
Source: ANI
SPH
Is Porn Gone? Internet Users’ Web Searchers Show More ‘diversified’ Interest
Social networking sites are the biggest drawers, when it comes to Internet searches, dethroning online pornography, according to a new survey, which has provided an up-to-date view
Advertisement
However, it's not easy to estimate someone's age, partly because the aging process is determined not only by a person's genetic makeup, but by many other factors as well, including health, location and living conditions.
"Human faces do convey a significant amount of information, however, and provide important visual cues for estimating age. Facial attributes, such as expression, gender and ethnic origin, play a crucial role in our image analysis," said Huang.
The age-estimation software was trained on a database containing photos of 1,600 faces, and consists of three modules - face detection, discriminative manifold learning, and multiple linear regressions.
It can estimate ages from 1 year to 93 years. It's accuracy ranges from about 50 percent when estimating ages to within 5 years, to more than 80 percent when estimating ages to within 10 years. Huang said that the accuracy can be improved by additional training on larger databases of faces.
Apart from performing tasks such as security control and surveillance monitoring, the software also could be used for electronic customer relationship management.
For example, a camera snapping photos of customers could collect demographic data - such as how many adult men and women buy burgers, or what percentage of teenagers purchase a particular soft drink.
Also, if combined with algorithms that identify a person's sex, age-estimation software could help target specific audiences for specific advertisements. For example, a store display might advertise a new automobile or boat as a man walks by, or new clothing or cosmetics as a woman walks by.
"All of this can be done without violating anyone's privacy. Our software does not identify specific individuals. It just estimates their ages," said Huang.
Source: ANI
SPH
“Mouse Potatoes” Aren’t “couch Potatoes” Always: US Researchers Rebut Popular Claims
The stereotype of computer gamers being 'couch potatoes,' is completely baseless, claim US researchers, who say that many people fond of gaming are in much better shape than the average people.
Advertisement
Kids Who Have TVs or Computers in Their Rooms Sleep LessKids who have television or computer in their rooms sleep less during the school year than their peers who don't have the facilities, a new study has found. | Advertisement
|
Advertisement
Latest News on IT in Healthcare
Oracle has added healthcare-specific features to the Oracle Fusion Cloud Applications Suite, aiding healthcare in trengthening supply chains, and elevating patient care.
Explore how artificial intelligence is utilized to predict the likelihood of death in the years after experiencing a hip fracture.
Cloud computing plays a central role in robotics market, enabling more rapid, secure, and scalable management of sensing, computation, and memory.
In the pursuit of robotic bladder transplantation, significant progress is detailed in a new study.
The AI model can detect both prevalent cancers and the challenging-to-diagnose rare ones.
