Qualcomm To Bring Gesture Recognition To Mobile Devices
Qualcomm today announced that it has acquired certain assets from GestureTek, a developer of gesture recognition technology.
A leader in the gesture recognition field, GestureTek has more than 25 years of experience implementing gesture-based technologies in mobile devices, entertainment facilities, healthcare systems, retail locations, and public and private venues. The acquisition gives Qualcomm ownership of certain intellectual property assets related to gesture recognition, as well as key engineering resources. GestureTek will retain other assets in continuation of its gesture-controlled public display and digital signage business.
"Applications processors are enabling a range of new ways for consumers to interface with their home entertainment and mobile devices," said Steve Mollenkopf, executive vice president and group president, Qualcomm. "Our acquisition of key technology and assets from GestureTek will strengthen Qualcomm's smartphone product portfolio and enable our customers to launch products with new and compelling user experiences."
Gesture recognition technology will be integrated into Qualcomm's current and next-generation Snapdragon processors, giving the company's OEMs the capability to produce smartphones, tablets and home entertainment devices with user interfaces based on natural human gestures.
"Applications processors are enabling a range of new ways for consumers to interface with their home entertainment and mobile devices," said Steve Mollenkopf, executive vice president and group president, Qualcomm. "Our acquisition of key technology and assets from GestureTek will strengthen Qualcomm's smartphone product portfolio and enable our customers to launch products with new and compelling user experiences."
Gesture recognition technology will be integrated into Qualcomm's current and next-generation Snapdragon processors, giving the company's OEMs the capability to produce smartphones, tablets and home entertainment devices with user interfaces based on natural human gestures.