Fraunhofer Institute develops emotion detection for Google Glass
App can determine emotions based on facial recognition and analysis
Germany's Fraunhofer Institute for Integrated Circuits IIS has created the first ‘emotion detection' application for Google Glass.
Fraunhofer IIS has adapted its SHORE real-time face detection and analysis software to work on Google's smart glass device, to be able to detect people's faces and determine their emotions by analysing their facial expressions.
The research organisation said that the Glassware app could provide an important communication aid for people with disorders such as autism, many of whom have difficulty interpreting emotions through facial expressions.
The app simultaneously gauges the person's age or detects their gender among other things, but it cannot determine their identity. All calculations are performed in real-time by the CPU integrated in the eyewear, all on the device. Information on emotions could then be relayed to the Glass wearer via the screen or audio.
Fraunhofer IIS is a participant in the Google Glass Explorer Program which gives early access for developers to the wearable device.
SHORE is the culmination of years of R&D work in the field of intelligent systems, which resulted in the creation of a highly-efficient real-time C++ software library. The software enables the detection of objects and faces, as well as detailed facial analyses. Because of the high degree of optimisation, it can be adapted to nearly any platform and operating system, especially mobile devices such as tablets and smartphones.
Fraunhofer researchers also have extensive experience in the development of miniaturized and intelligent cameras and the corresponding algorithms. This know-how was a major factor in the high-performance development of the SHORE-based Google Glass app.