邹韵 剑桥大学 剑桥大学研发"非接触式触摸屏"

剑桥大学研发"非接触式触摸屏"  

Cambridge University researchers have developed a "no-touch touchscreen" that uses artificial intelligence to predict a user's intention before their hand reaches the display.
The screen was originally designed for use in cars
but the engineers who built it claim it could also have widespread applications during a pandemic.
The "predictive touch" technology can be retrofitted to existing displays and could be used to prevent the spread of pathogens on touchscreens at supermarket check-outs
ATMs and ticket terminals at railway stations.
这种“预测性触摸”技术可以加装在现有屏幕上，可以用来防止病原体在超市收银台、自动取款机和火车站售票终端机的触摸屏上传播。
Studies have shown that coronavirus can remain on plastic and glass for anywhere beeen o hours and a week
meaning touchscreens in public places need to be constantly disinfected to prevent transmission.
"Touchscreens and other interactive displays are something most people use multiple times per day
but they can be difficult to use while in motion
whether that's driving a car or hanging the music on your phone while you're running
" said Simon Godsill from the university's department of engineering.
"We also know that certain pathogens can be transmitted via surfaces
so this technology could help reduce the risk for that type of transmission."
The technology works by predicting where a user intends to touch the screen as they begin the hand movement towards the screen. A bination of AI and sensors determine the user's intent in real time by also tracking contextual information like the user's profile
environmental conditions and an eye-gaze tracker.
Other touch-free technologies include gesture control
which can be found on the latest generation of Google and Samsung smartphones
as well as some smart TVs.
Haptic feedback technology also offers a way to interact with digital devices and environments
though it still needs developing and is yet to see broad mercial use.
"Our technology has numerous advantages over more basic mid-air interaction techniques or conventional gesture recognition
because it supports intuitive interactions with legacy interface designs and doesn't require any learning on the part of the user
" said Dr Bashar Ahmad
who led the development of the touchless screen
"It fundamentally relies on the system to predict what the user intends and can be incorporated into both new and existing touchscreens and other interactive display technologies."