Research on Head-up and Down Behavior Computer Detection by Deep Learning and Artificial Intelligence

The use of deep learning technology to recognize human behavior in video scenes is one of the current research hotspots in the field of computer vision. In recent years, it has received extensive attention from academia and engineering. Human behavior recognition related technologies are used in intelligent monitoring, human-computer interaction, and virtual Reality and content-based video retrieval and interpretation have broad application prospects and potential economic value. At the same time, in the classroom scene, identifying students' classroom behavior has important reference significance for the evaluation of students' learning status, learning quality and teachers' teaching effects. This article applies deep learning technology to college classroom scenes, from the perspective of students looking down and raising their heads, to detect students and identify their behavioral states.