摘要
设计了一种基于惯性测量单元(IMU Inertial Measurement Unit)的远程健康监护系统。首先采集固定在人体上的4个惯性测量单元的加速度、地磁和角速度数据,然后对数据采用卡尔曼滤波器进行融合,最后将融合后的姿态数据写入BVH文件后传输到远程医护人员的计算机,以便医护人员对病人进行监护。实验结果表明,系统能实时准确地采集到人体的姿态数据,并能实时地再现人体的动作。
A remote health monitoring system based on IMU was presented.Acceleration data,magnetic data and angular data were collected by the IMU tied up on human body.The raw measurement data was then processed by Kalman filter algorithm to produce a quaternion representation of orientation.Finally the BVH file containing the data captured above was transmitted to a remote PC of the doctor.The results show that the system is able to capture the motion data accurately and reproduce the movement of the human in real time.
出处
《计算机科学》
CSCD
北大核心
2011年第11期245-247,共3页
Computer Science
基金
2011年度省级高技能人才培养和技术创新活动计划(2011R30056)资助
