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, California 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," told Wei Zhang, a research
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.

Via Times of India