基于加速度传感器的乒乓球击球动作识别  

Recognition of table tennis strokes based on acceleration sensor

作　　者：黄刘松[1] 储岳中[1] 张学锋[1] 

机构地区：[1]安徽工业大学计算机科学与技术学院,安徽马鞍山243032

出　　处：《传感器与微系统》2016年第1期56-58,61,共4页Transducer and Microsystem Technologies

基　　金：安徽省自然科学基金资助项目(1308085QF113)

摘　　要：针对人击打乒乓球时的动作特点,提出一种基于三维加速度信号的识别算法以识别不同类型的击球,例如:攻球、搓球和推挡。所用数据由绑定在手腕上的加速度传感器在乒乓球的训练过程中采集,利用固定阈值法对加速度信号的终始点进行判断,并提取信号的信号能量、手势长度等关键特征。识别过程分别采用K近邻和决策树算法。实验结果表明:针对乒乓球训练过程中的击球动作,可以快速有效地对动作信号进行分类识别。According to the action characteristics of one＇ s hitting ping-pong ball, propose a recognition algorithm which is based on 3D acceleration signal to distinguish different types of strokes, such as attacking, rubbing and blocking. Data is acquired in training through acceleration sensor tied on wrist;beginning point and end point of acceleration signal are judged by fixed threshold method; and other key characteristics such as signal energy and gesture length are extracted. The K-NN and the decision tree algorithm are used in the process. Result suggests that stroke signals can be classified and distinguished in table tennis training fast and effectively.

关 键 词：加速度传感器 乒乓球 特征提取 动作识别 决策树 K近邻 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]