Elliptic Labs MagicSNAP is a touch-free ultrasound gesture technology

Mobile / Tech

The company wasn’t clear on when the tech would be coming to market but did hint they would reveal more at CES.

The last time we saw Elliptic Labs was back in January 2016 when they introduced what is now MagicSNAP to the world. Back then, the technology was still in the works but now it looks like they’re moving on to the next steps. The company will be demoing MagicSNAP at CES 2018 on the Xiaomi Mi Mix 2 which houses the Qualcomm Snapdragon NPE (Neural Processing Engine) chip. The company wasn’t clear on when the tech would be coming to market but did hint they would reveal more at CES.

Elliptic Labs’ ultrasound virtual sensors are an example of technology leveraging the NPE’s machine learning and artificial intelligence optimization tools on the Snapdragon mobile platform. Elliptic Labs is trying to create an intuitive way for people to interact with their phones. With MagicSNAP, natural hand movements in the air above, in front of and to the side of the screen can take a selfie or group photo, including capturing whole-body photos.

Developers using the NPE from Qualcomm, and OEMs that want to add advanced touch-free interface technology to their products can work with Elliptic Labs to easily and quickly integrate virtual sensors. By using machine learning, they learn from user interactions in order to improve device performance for actions such as answering a call or pausing a video.

“Any OEM or developer using the Snapdragon Neural Processing Engine from Qualcomm Technologies can now benefit from our expertise in machine learning and user experience design,” said Laila Danielsen, CEO of Elliptic Labs. “Whether people want to use our technology to take pictures, record videos or play music, it is clear that intuitive, touch-free gestures are important for the next generation of user experiences in the mobile, VR and IoT markets. Leveraging NPE, we are able to more rapidly deliver touch-free gestures that are natural extensions of human interaction.”

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