基于惯性测量的运动捕捉技术研究

Bo Feng, Xianggang Zhang, Hui-yuan Zhao
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引用次数: 4

摘要

动作捕捉技术已广泛应用于人体运动科学、人机交互与控制、医学分析、电影、游戏制作等领域。提出了一种基于惯性传感器的运动捕捉系统。该系统主要由惯性传感器单元和PC上的实时监控单元组成。同时,传感器单元通过BSN(身体传感器网络)与PC机交换数据。一个传感器测量单元包含一个三轴陀螺仪、一个三轴加速度计、一个三轴磁强计和一个网络通信单元。惯性传感器单元安装在车身的不同部位。在该系统中,首先采集惯性传感器数据,然后采用自适应卡尔曼滤波算法对人体手势进行估计。实验表明,该方法具有精度高、动态、几乎无漂移等优点。此外,数据可以平滑地更改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Research of Motion Capture Technology Based on Inertial Measurement
The motion capture technologies have been widely used in the following areas: human movement science, human-computer interaction and control, medical analysis, film, game production, and etc. This paper presented a motion capture system based on inertial sensors. The system is mainly composed of the inertial sensor unit and real-time monitoring unit on PC. Meanwhile, Sensor units exchange data with PC through BSN (body sensor network). One sensor measurement unit contains a three-axis gyroscope, a three-axis accelerometer, a three-axis magnetometer and a network communication unit. The inertial sensor units are installed on the different parts of body. In the system, the inertial sensor data are collected, and then adaptive Kalman Filter algorithm is used to estimate the body gesture. The Experiments show that this way have some advantages such as: high precision, dynamic, and almost no drift. Furthermore, the data can be changed smoothly.
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