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In order to solve the problem that the existing action detection system relies on inertial sensors and the detection results are not accurate enough, an action detection system based on human skeleton information is designed. The system uses Jetson Nano artificial intelligence computing equipment as the main control module, combined with image acquisition module , display module and alarm module , alarm module based on Atmega328P microcontroller. The system uses the image acquisition module to collect action video information, detects human action in the video through the action detector in the main control module, and the alarm module receives the detection results through the serial port and gives early warning of dangerous actions. At the same time, using the joint space motion range of the human skeleton and the difference of limb associations, a joints action model of the displacement vector between joint frames and the change of the included angle of the bones is established, and then the Long-Short-Term Memory Network is used to extract the action features and train a real-time action detector. After experimental tests, the system can effectively detect common human action and give alarms to dangerous action categories.