MOUNTAIN VIEW, Calif., Oct. 23, 2017 (GLOBE NEWSWIRE) — Qeexo, developer of machine learning solutions for mobile and IoT, today announces that FingerSense, the company’s next generation touch platform, is available on Huawei’s Mate 10 line of flagship smartphones.
“We are excited to expand our relationship with Huawei through the integration of Qeexo’s FingerSense technology in the Mate line of smartphones for the third straight year,” said Sang Won Lee, CEO of Qeexo. “With FingerSense, our lightweight machine learning technology continues to enhance the functionality of millions of Huawei devices, worldwide.”
Huawei, the world’s second largest Android smartphone manufacturer, uses Qeexo FingerSense technology (rebranding it “Knuckle Sense” or “Knuckle Gestures”) for most of it its flagship smartphones, including the Mate 10 series. FingerSense enables users to quickly access powerful functions, simply by using a knuckle to draw or knock on the screen. For example, users can use a knuckle to draw letters such as “m” and “c” to launch the Mate’s 10’s music player and camera respectively, or to knock twice on the display to take a screenshot.
Powered by Qeexo’s lightweight machine learning technology, FingerSense is the world’s first software-only solution that can distinguish between touchscreen inputs such as fingertip, knuckle, nail and stylus. With FingerSense, smartphone OEMs can offer a range of new capabilities to delight users and make it easier for them to perform smartphone tasks. With simple gestures, FingerSense enables: enhanced screenshot capabilities, more robust live screen-recording tools, and quick-launch of applications via letter gestures. To watch a demo of Qeexo’s FingerSense technology, go to: https://www.youtube.com/watch?v=sCE8FYwQjz8.
Qeexo uses sensor data to develop machine learning solutions for mobile devices, touch interfaces, and embedded systems. The company works with leading device OEMs and component manufacturers to power new and exciting user experiences on over fifty million devices worldwide. In industries such as mobile, IoT, and automotive, there are billions of devices where computation and memory are highly constrained. Qeexo’s proprietary, low-latency, low-power models are engineered to have an incredibly small footprint – ideal for making high-accuracy predictions in these environments. Spun out of Carnegie Mellon University, Qeexo is venture-backed and headquartered in Mountain View, CA, with offices in Pittsburgh, Shanghai, and Beijing. To learn more, visit www.qeexo.com.
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