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.

中文翻译：

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基于增强现实和移动边缘计算的运动舞蹈运动评估方法

AR（增强现实）是一种新兴技术，将计算机技术和模拟技术结合在一起。它使用计算机生成模拟环境，以使用户沉浸在该环境中。AR可以模拟真实的环境或事物，并凭借其多感知，交互式，沉浸式和其他特性将其呈现给用户，以实现沉浸式效果。对于体育舞蹈，可以通过使用AR技术来增强教学效果。针对高速数据传输和虚拟技术计算带来的时延和终端设备能耗问题，提出了一种在上行链路上采用均等功率分配的运动舞蹈运动传输方案。首先，根据AR体育舞蹈业务的协作属性，建立了AR特性的系统模型；其次，对系统框架结构进行了详细分析，并建立了约束条件，以使系统的总能耗最小。最后，在时延和功耗满足约束的条件下，建立了基于凸优化的移动边缘计算（MEC）数学模型，从而获得了AR中体育舞蹈的最佳通信和计算资源分配方案。实验结果表明，所提出的基于AR和MEC的运动舞蹈动作评价方法是有效的。在延迟和功耗满足约束的条件下，建立了基于凸优化的移动边缘计算（MEC）数学模型，从而获得了AR中运动舞蹈的最佳通信和计算资源分配方案。实验结果表明，所提出的基于AR和MEC的运动舞蹈动作评价方法是有效的。在延迟和功耗满足约束的条件下，建立了基于凸优化的移动边缘计算（MEC）数学模型，从而获得了AR中运动舞蹈的最佳通信和计算资源分配方案。实验结果表明，所提出的基于AR和MEC的运动舞蹈动作评价方法是有效的。