The Application of Edge Computing Technology in Strength Training in Hip-Hop Training and Teaching under the Background of Artificial Intelligence and Internet of Things

Abstract

Edge computing technology in the context of artificial intelligence and the Internet of Things refers to the integration of network core processing functions, computing functions, storage functions, etc., on the basis of an open platform to one end source that is closer to objects or data. In this way, we can provide the closest and most convenient service. Edge computing technology takes the edge as the starting point to respond to network services and meet the basic requirements of real-time activities, intelligent applications, and information security and privacy in various industries. This paper applies edge computing technology in the context of artificial intelligence and Internet of Things to strength training in hip-hop teaching. First of all, this paper introduces the origin, classification, and concept of strength training of hip-hop and then introduces the edge computing technology. It includes edge computing structure, edge computing characteristics, and strength training algorithm based on edge computing. They are Thomas action, Fresno action, and rebound action. Finally, this paper compares the strength training assisted by edge computing technology with the strength training under traditional teaching and conducts strength tests on three basic hip-hop movements. The final experimental results show that edge computing technology is 1.69% higher than the strength training under traditional teaching in terms of the percentage of movement strength, which verifies its effectiveness and feasibility for hip-hop strength training.