首页> 外文期刊>Microprocessors and microsystems >Simulation of badminton sports injury prediction based on the internet of things and wireless sensors
【24h】

Simulation of badminton sports injury prediction based on the internet of things and wireless sensors

机译:基于事物互联网和无线传感器的羽毛球运动损伤预测模拟

获取原文
获取原文并翻译 | 示例

摘要

To study the joint, in order to reduce the global approach is to provide an overview of the risk to injury the badminton. Leg and back injuries were mainly due to lack of strength or mobility while the hand and shoulder area were injured due to incorrect technique. This aspect contributes to the prevention of lower limb injury programs that should be addressed. Fatigue affects the way these tendons are less powerful and more unstable the way punching is done abruptly in the water, as well as jumps. Increased physical strength program to prevent training injuries. Badminton evaluation is the process of evaluating the performance of most players to improve their training skills and identify their strengths and weaknesses for them. Some traditional assessment methods were deficient in human resources, professional knowledge and objective methods. In addition, quality parameters and rating models for evaluating feather ball use are still under research. In this research, the main purpose of the Internet of Things is to design and create a new and effective system for badminton evaluation. The next generation cheating game training things architecture website is proposed. To confirm its effectiveness, a motion sensor meme-based Wireless Sensor Device (WSD) (Micro Electro Mechanical System) is used to identify the technical status of different badminton players and badminton strokes. Includes custom sensor nodes for system data collection, mobile applications, and processing units for cloud-based data.
机译:要研究联合,为了减少全球方法,是为了概述伤害羽毛球的风险。腿部和背部伤害主要是由于缺乏力量或流动性,而手和肩部面积因技术不正确而受伤。这方面有助于预防应该解决的下肢伤害计划。疲劳影响这些肌腱不那么强大,更不稳定的方式冲击在水中突然进行,以及跳跃。增加体力计划,以防止训练伤害。羽毛球评估是评估大多数玩家的表现,以改善他们的培训技能,并确定他们的优势和劣势。一些传统的评估方法缺乏人力资源,专业知识和客观方法。此外,评估羽毛球使用的质量参数和评级模型仍在研究中。在这项研究中,互联网的主要目的是设计并为羽毛球评估创造一个新的有效的系统。提出了下一代作弊游戏培训架构网站。为了确认其有效性,用于基于运动传感器MEME的无线传感器设备(WSD)(微电器机械系统)用于识别不同羽毛球运动员和羽毛球冲程的技术状态。包括用于系统数据收集,移动应用程序和基于云数据的处理单元的自定义传感器节点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号