Scientists from Nizhny Novgorod State Technical University named after R. E. Alekseev created an application capable of recognizing emotions from a photo or video. The neural network can classify emotions from video fragments, both previously filmed and received from cameras in real-time.
It is noted that this development is relevant since the application can be useful during monitoring of the driver’s condition while driving, working with video analytics systems of a “smart city” or security systems, as well as for conducting marketing research.
It is specified that for the learning process, they used a set of 35,887 images. The database was created using Google Image Search. Each image is classified into seven emotions, namely surprise, fear, happiness, anger, disgust, sadness, and neutrality, or calmness.