Dynamic gesture recognition based on deep information feature fusion

Gesture recognition, as one of the mature fields in the field of human-computer interaction, determines whether it can be applied in the field of contactless remote control. This paper focuses on the evolution of low level deep features to high level high recognition ability, but also has a concise descriptor, and from the depth map to improve the recognition rate of dynamic gesture recognition.