Sensor fusion for complex articulated body tracking applied in rowing

被引：20
作者：
Ruffaldi, E. [1 ]
Peppoloni, L. [1 ]
Filippeschi, A. [1 ]
机构：
[1] Scuola Super Sant Anna, PERCRO Lab, I-56010 Pisa, Italy
来源：
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART P-JOURNAL OF SPORTS ENGINEERING AND TECHNOLOGY | 2015年 / 229卷 / 02期
关键词：
Motion reconstruction; sensor fusion; rowing; Kalman filter; kinematics; MOTION TRACKING; DYNAMICS; MODEL;
D O I：
10.1177/1754337115583199
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
This paper presents a sensor fusion model for integrating wearable inertial measures with sensors in the environment. This approach is designed and tested to support body motion tracking of rowing in indoor and outdoor environments. This paper presents the approach based on a complex kinematic model and Unscented Kalman filtering. The approach is validated in an indoor setup based on the SPRINT rowing system by comparison against results obtained from a commercial motion capture system, thus providing future directions for the assessment of rowers' performance on an instrumented boat.
引用
收藏
页码：92 / 102
页数：11
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