基于图像识别的乒乓球选手头部运动及健康分析
Table Tennis Players' Head Movement and Health Analysis Based on Image Recognition
朱玲 1季云峰2
作者信息
- 1. 上海体育学院中国乒乓球学院,上海,200438
- 2. 上海理工大学光电信息与计算机工程学院,上海,200438
- 折叠
摘要
近年来由于生活和工作的不良习惯,颈椎病的发病率成上升趋势,严重影响着人们的正常工作和身心健康.乒乓球运动作为深受广大人民喜爱的一项运动,对颈椎病的预防和治疗有很大的疗效.介绍了一种基于图像识别的检测乒乓球选手头部运动的方法,以检测目标范围中的像素块为主要算法,为乒乓球运动有益颈椎健康提供了科学并准确的依据,增强其说服力,鼓励大家多多参加乒乓球运动.
Abstract
In recent years,due to the bad habits of life and work,the incidence of cervical disease is tending to increase,which seriously affects people's normal work and health.As one of the most favorite sports,playing table tennis has a great effect on the prevention and treatment of cervical disease.The approach in this paper is based on image recognition which detects table tennis players' heads movement and the main algorithm is to detect the target pixel blocks.The article provides a scientific and accurate basis for cervical health benefits of table tennis and encourages people to participate in table tennis sport.
关键词
乒乓球/OpenCV/头部扭动/像素块检测Key words
Table Tennis/OpenCV/Head Twist/Pixel Block Detection引用本文复制引用
出版年
2014
国家科技期刊平台
NSTL
维普
万方数据