SHORE facial analysis spots emotions on Google Glass

Thursday, August 28, 2014 - 15:00 in Mathematics & Economics

One of the key concerns about facial recognition software has been over privacy. The very idea of having tracking mechanisms as part of an Internet-connected wearable would be likely to upset many privacy advocates. German researchers at the Fraunhofer Institute for Integrated Circuits IIS have worked on their facial recognition technology for Google Glass with a welcomed twist. Their result is that emotions, gender, and age can be recognized but—stop gagging—-not identity. "None of the images leaves the device," said the team behind the software. Sophisticated High-speed Object Recognition Engine (SHORE) is the name of the group's software, which processes video on the Google Glass CPU. All calculations are performed in real-time by the CPU. By participating in the Google Glass "Explorer Program" Fraunhofer IIS was able to test the smart eyewear. The Google Glass app was made possible by adapting and implementing the Fraunhofer IIS SHORE software...

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