摘要
为了提高乒乓球握姿训练的自动化水平,提出一种基于体感识别技术的乒乓球握姿训练系统,采用图像传感器进行乒乓球握姿的图像信息采集,对采集的乒乓球握姿图像信息进行体感特征监测,提取乒乓球握姿图像的体感动态特征量,采用支持向量机模型进行乒乓球握姿的体感特征分类识别。根据对乒乓球握姿的体感特征识别结果进行乒乓球握姿的自动调节,实现乒乓球握姿训练优化。仿真结果表明,采用该方法进行乒乓球握姿训练的提高特征检测能力较好,识别准确性较高,提高了乒乓球握姿的自动训练水平。
In this paper,the automatic level of table tennis posture holding training is improved,and a table tennis posture holding training system based on body sense recognition technology is proposed.The image sensor is used to collect the image information of table tennis posture grip.The information of table tennis grip image is monitored and the dynamic feature of table tennis grip image is extracted.The support vector machine model is used to classify and recognize the posture of table tennis.According to the recognition result of the posture of table tennis,the automatic adjustment of the posture of table tennis is carried out,and the training optimization of holding posture of table tennis is realized.The simulation results show that this method can improve the ability of feature detection and the accuracy of recognition,and improve the automatic training level of table tennis posture holding.
作者
李文
LI Wen(Xinjiang Police College,Wulumuqi 830002,China)
出处
《自动化与仪器仪表》
2020年第2期89-92,共4页
Automation & Instrumentation
关键词
体感识别技术
乒乓球
握姿训练
传感器
支持向量机
somatosensory recognition technology
table tennis
grip training
sensor
support vector machine
