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基于无线传感器技术的人体步态跟踪系统研制

Human Gait Tracing System Based on Wireless Sensor Network

作者: 李声飞  吴宝明 
单位:重庆大学通信工程学院(重庆400040)
关键词: 加速度;步态跟踪;无线传感器网络;卡尔曼滤波算法;健康监护 
分类号:
出版年·卷·期(页码):2010·29·2(154-161)
摘要:

设计了一套基于无线传感器网络技术的人体步态跟踪系统。首先在测试者腿部佩戴传感器节点实时采集运动加速度数据,通过传感器网络将数据发给PC机进行数据处理。PC机上采用卡尔曼滤波算法估计腿部运动状态向量(弯曲角度、摆动速度、水平/垂直加速度),从而建立运动模型实时跟踪人体步态运动。初步试验结果表明,系统能够准确地跟踪人体运动步态,具有准确性高、使用方便、可扩展性好和性价比高等优点,可广泛应用于人体运动功能康复评价等领域。

To design a human gait tracking system, which was based on wireless sensor technology. The acceleration sensor node wearing on the experimenter’s thigh, was responsible for collecting activity acceleration data, which then was transmitted the data to PC through wireless sensor network. By means of the pe software, the Kalman filter algorithm was adopted to estimate experimenter’s thigh motion vectors(bend angle, swing speed, horizontal/vertical acceleration), thus the motion model was established for tracing body gait activity. Preliminary experiments showed that this system was able to trace body gait accurately with the advantages of highaccuracy, convenience, good scalability and high performanceprice ration. Furthermore the system could be widely used in the application of evaluating movement function recovery.

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