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基于运动传感器的远程健康监护系统研究
引用本文:任伟.基于运动传感器的远程健康监护系统研究[J].计算机科学,2011,38(11):245-247.
作者姓名:任伟
作者单位:浙江工业大学特种装备制造与先进加工技术教育部重点实验室 杭州310012
基金项目:2011年度省级高技能人才培养和技术创新活动计划(2011R30056)资助
摘    要: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I3VH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。

关 键 词:无线体域网,IMU    BVH,卡尔曼滤波,动作识别

Research on Remote Health Monitoring System Based on Motion Sensor
REN Wei.Research on Remote Health Monitoring System Based on Motion Sensor[J].Computer Science,2011,38(11):245-247.
Authors:REN Wei
Affiliation:REN Wei(Key Laboratory of Special Equipment and Advanced Processing Technology Ministry of Education,Zhejiang University of Technology,Hangzhou 310012,China)
Abstract:A remote health monitoring system based on IMU was presented. Acceleration data,magnetic data and angular data were collected by the llVIU 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.
Keywords:Wireless body sensor networks  IMU  BVH  Kalman filter  Motion capture
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