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基于MEMS的动作跟踪器的研制
引用本文:马玉可.基于MEMS的动作跟踪器的研制[J].自动化信息,2010(3):35-37.
作者姓名:马玉可
作者单位:康波电子科技大学自动化工程学院,四川成都610054
摘    要:本文针对增强现实中的跟踪定位的需求,采用嵌入式系统设计思想,以新型的微机电惯性器件为核心,利用单片机来构建了一种结构紧凑、低功耗、低成本的通用型惯性测量硬件平台。实现模拟信号处理,并采用多传感器的数据融合算法。最后,通过实验分析,验证了惯性跟踪器的功能。

关 键 词:增强现实  卡尔曼滤波  微机电系统  四元数  惯性导航  姿态捕捉

Development of a Movement Tracker Based on MEMS Sensors
MA Yu-ke.Development of a Movement Tracker Based on MEMS Sensors[J].Automation Information,2010(3):35-37.
Authors:MA Yu-ke
Affiliation:MA Yu-ke, KANG Bo (School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China)
Abstract:Aiming at the requirements of location tracking in augmented reality, the paper builds a MCU based common inertial measurement hardware platform by adopting the design idea of embedded system and using new MEMS inertial sensors as its core. This inertial measurement unit is of advantages of compact structure, low current consumption and low cost, with the capability of analog signal processing and by using multi-sensors~ data fusion algorithm. Moreover, through the experimental analysis, the functions of the inertial tracker have been proved.
Keywords:Augmented Reality  Kalman Filtering  Micro Electromechanical Systems (MEMS)  Quaternion  Inertial Navigation  Attitude Capture
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