基于惯性传感器和视觉数据的高尔夫球全挥杆三维动力学分析

2013 13th International Conference on Control, Automation and Systems (ICCAS 2013) Pub Date : 2013-10-01 DOI:10.1109/ICCAS.2013.6704153

Nguyen Khoa Nam Cao, Y. Suh, Quoc Khanh Dang

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引用次数: 6

摘要

本文提出了一种高尔夫挥杆运动跟踪系统，该系统给出了高尔夫球杆运动轨迹(位置和速度)和杆面方向信息。在高尔夫球杆上安装了红外发光二极管和惯性传感器单元，并使用了立体摄像机单元。在地址和冲击高尔夫挥杆阶段，摄像机捕捉到高尔夫球杆上的红外led。利用红外发光二极管作为标志，计算高尔夫球杆的位置和方向。当高尔夫球杆运动时，采用惯性导航算法计算球杆运动轨迹。采用9态间接卡尔曼滤波对惯性传感器和视觉数据进行组合。平均定位精度约为3.6cm，最大误差约为13.2cm。该系统可用于高尔夫挥杆动作的定量分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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3D dynamics analysis of a golf full swing by fusing inertial sensor and vision data

In this paper, a golf swing motion tracking system is proposed, where golf club trajectory (position and velocity) and club face orientation information are given. Infrared LEDs and an inertial sensor unit are attached on a golf club and a stereo camera unit is used. During the address and impact golf swing phases, the cameras capture infrared LEDs on a golf club. Using infrared LEDs as landmarks, position and orientation of a golf club is computed. When a golf club is moving, an inertial navigation algorithm is used to compute the golf club trajectory. An indirect Kalman filter with 9 states is used to combine inertial sensor and vision data. The average position accuracy is about 3.6cm and the maximum error is about 13.2cm. The proposed system can be used to analyze the golf swing quantitatively.

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来源期刊

2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)

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