With the Galaxy Note 20 launch just a week away, all eyes will be on what upgrades Samsung brings to the table. While the chipset might remain unchanged, there might be a silver lining. While Samsung flagship like the Note series and the S series are powered by Snapdragon chipsets in the US and European markets, they come with Exynos chipset in Asian markets such as India. It often tends to lose out on the performance front against Qualcomm Snapdragon counterparts. However, a new leak suggests some good news in this regard. Samsung Galaxy Note 20 release date, price, news and leaks Upcoming smartphones in India: Specs, launch date, price (Image credit: Samsung/WinFuture) According to a tweet by Anthony, a Youtuber, Samsung Galaxy Note 20 will continue to be powered by the Exynos 990 chipset, but with major improvements in terms of the performance and efficiency. These optimizations should bring it closer to the Snapdragon 865 series. He even suggested that it is almost li...
Those of you who own a smartwatch will be familiar with a major drawback of any wearable device that has a smaller screen than a smartphone – text input is a real pain.
But a team of wearable computing engineers at Georgia Tech has developed what looks like a potential solution. It's a smart ring that lets you trace letters and numbers with your thumb, allowing easy, silent text input on even the tiniest screens.
“A ring augments the fingers in a way that is fairly non-obstructive during daily activities. A ring is also socially acceptable, unlike other wearable input devices,” said Cheng Zhang, the Georgia Tech graduate student who created the technology.
How it works
The system, which is called Fingersound, works pretty simply. The ring has an on-board gyroscope and microphone which detect when the user places their thumb over their fingers and begins to draw a shape. Once the shape is recognized, it can give tactile feedback.
“Our system uses sound and movement to identify intended gestures, which improves the accuracy compared to a system just looking for movements,” said Zhang.
“For instance, to a gyroscope, random finger movements during walking may look very similar to the thumb gestures. But based on our investigation, the sounds caused by these daily activities are quite different from each other.”
Easy to use
The team says that the result is a system that is always available and easy to use. “When a person grabs their phone during a meeting, even if trying to silence it, the gesture can infringe on the conversation or be distracting,” explained Thad Starner, the Georgia Tech School of Interactive Computing professor leading the project.
“But if they can simply send the call to voicemail, perhaps by writing an ‘x’ on their hand below the table, there isn’t an interruption.”
The full details of the project were presented at Unicomp and the ACM International Symposium on Wearable Computing earlier this year.
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