Israel’s Gesture Recognition Delegation to CES 2013

7 January, 2013

ABI Research estimates that until 2017 more than 600 million Smartphones will use Gesture Recognition Interfaces

Israel has emerged as a surprising source for Gesture Recognition technologies for novel interfaces between computers and humans.


Some of the innovations are presented this week in CES 2013 exhibition in Las-Vegas. This is a hot market: ABI Research estimates that until 2017 more than 600 million Smartphones will use Gesture Recognition Interfaces (GRI).

PrimeSense, that pioneered GRI with 3D sensors brought into Microsodt’s Kinect system,  introduce it new generation, The Capri chip. The company has integrated all the sensing and processing system into a single chip (SoC) 10 times smaller than the first generation. The company plans to unveil the technology and demonstrate its use in consumer electronic devices such as digital kiosks, digital televisions and retail stores.

eyeSight from Herzliya has developed the Natural User Interface technology. It is based on GRI software that allows the use of intuitive body language to connect between the user and the computer. NUI needs a simple 2D camera to reconstruct the user’s movements and to identify his gestures. The company was founded in 2005 by Itai Katz, former director of video integration projects in Freescale. Its technology was recently chosen to be embedded into the new computer Lenovos’s Ideapad Ultrabooks. This wis came following the company’s success to adapt its NUI technology to Microsot’s Windows 8 OS.

Extreme Reality is another pioneer in the area of extracting 3D information from 2D cameras. The company was founded in 2005 in Herzliya, and raised investments from Texas Instruments, Crescent Point Lantern Foundation and SV Angel from the US. Lately, its development has received a certification of NEC Corporation for its All-in-One Personal Computers..

Omek Interactive from Beit Shemesh is a relative newcomer. During CES 2013, it will introduce its Gestures Recognition software, Omek Beckon 3.0. The company’s technology extracts delicate 3D gestures from crude 3D cameras. The software compatible to most 3D cameras in the market today, and helps developers to write their code once, and use it many times on different platforms.

It should be remembered that camera-based detection technologies are not the only solution to GRI. Murata and Elliptic Labs, for instance, will show a new idea: Gesture Recognition sensor that is based on information from ultrasonic sensor – not a camera.

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