Sports Dance Movement Assessment Method Using Augment Reality and Mobile Edge Computing

Author:

Xu Fang1ORCID,Chu Wentao1

Affiliation:

1. Anhui University of Arts, Hefei 230011, China

Abstract

AR (Augment Reality) is an emerging technology that combines computer technology and simulation technology. It uses a computer to generate a simulation environment to immerse users in the environment. AR can simulate the real environment or things and present it to users by virtue of its multiperceptual, interactive, immersive, and other characteristics, to achieve an immersive effect. For sports dance, the same can be used to enhance the effect of teaching and learning through the use of AR technology. Aiming at the problems of delay and terminal equipment energy consumption caused by high-speed data transmission and calculation of virtual technology, this paper proposes a sports dance movement transmission scheme that uses equal power distribution on the uplink. Firstly, based on the collaborative attributes of the AR sports dance business, a system model for AR characteristics is established; secondly, the system frame structure is analyzed in detail, and the constraint conditions are established to minimize the total energy consumption of the system; finally, the mathematical model of Mobile Edge Computing (MEC) based on convex optimization is established under the condition that the delay and power consumption meet the constraints, so as to obtain the optimal communication and computing resource allocation scheme of sports dance in AR. The experimental results reveal that the proposed sports dance movement assessment method based on AR and MEC is efficient.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Reference21 articles.

1. The importance of spatial audio in modern games and virtual environments;J. Broderick

2. Enhancing Student Learning of Removable Prosthodontics Using the Latest Advancements in Virtual 3D Modeling

3. A survey on mobile edge networks: convergence of computing caching and communications[J];S. Wang;IEEE Access,2017

4. Power-constrained edge computing with maximum processing capacity for IoT networks;M. Qin;IEEE Internet of Things Journal,2019

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