摘要
设计了一种基于微机电惯性传感器的数据手套。根据惯性导航和刚体动力学原理,构建了基于微型传感器的体感网络,并通过多传感器数据的融合解算以获取运动姿态信息,实现对手指各关节运动数据的捕获。结合计算机图形技术构建三维虚拟手捕获系统进行性能对比评估,实验结果表明:所设计的系统具有良好的稳定性和适应性,能够对手运动信息进行实时有效地捕获。
A data glove based on MEMS inertial sensors is designed. According to inertial navigation and rigid body dynamics theory,somatosensory network based on micro-sensor is constructed and obtain motion gesture information through fusion of multi-sensor data,realize data capture of finger movement of each joint. A kind of 3D virtual hand capture systems based on computer graphics technology is constructed to evaluate performance contrast. Experimental results show that the system has good stability and adaptability,which can effectively capture motion information of fingers in real time.
出处
《传感器与微系统》
CSCD
2016年第2期67-70,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61164011)
江西省自然科学基金资助项目(20114BAB201023)
关键词
运动捕获
惯性导航
刚体动力学
惯性传感器
motion capture
inertial navigation
rigid-body dynamics
inertial sensor
