Washington, Jan 24 : You may soon not have to drag a reluctant loved one around when out shopping for clothes, thanks to 'Intelligent Fitting rooms' that can help you compare your dressing choices with personal preferences and fashion trends.
The new system developed by Zhang with Takashi Matsumoto of Keio University and Juan Liu, Maurice Chu and Bo Begole of PARC in Palo Alto, Calif can help shoppers judge their dressing room choices before purchase and can suggest alternative styles.
"The system improves [a shopper's] confidence in the decision-making process and improves their shopping experience," Discovery quoted Wei Zhang, a Ph.D. student in electrical engineering at Oregon State University in Corvallis, as saying.
The dressing room equipped with cameras, machine learning generates an interactive display and intelligent clothes retrieval.
In the 'Smart fitting' room the shopper is surrounded by mirrors.
In the front, she sees herself in the actual mirror. The left mirror displays her wearing the outfit tried previously, which helps the shopper to compare multiple outfits at the same time.
To right mirror displays images of other people wearing similar clothes or completely different styles that gives the shopper information about the social context of her choice and provide her alternative styles.
Henry Lieberman, a research scientist in the Media Lab at the assachusetts Institute of Technology in Cambridge said that there are lots of differences in fashion preferences of men and women and the ability to understand the preferences will be key to making the system work.
"Obviously there are a lot of technical issues that need to be dealt with one by one before you can have a satisfactory customer experience," said Lieberman.
"It's nice that they're thinking about a situation where technology is not traditionally used," he added.
However, Zhang believes that the clothes-matching and retrieval technology would also be able to fit mobile device applications.