**7. Action recognition**

The goal of action recognition is to infer which action takes place in a set of image or video observations. Some simple actions, like eating or cutting, could be recognized using just a single frame, but actions are mostly much more complex and take place over a period of time, so they need to be analyzed across consecutive video frames.

Here, for recognition of handball actions, a simple long short-term memory (LSTM)-based artificial recurrent neural network is used.

During the handball game, every player is moving around the field performing different actions with a ball, such as shot, jump-shot or dribbling, or without the ball, such as running or defending. Some actions are performed by more players such as passing the ball or crossing.
