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A WIRELESS HUMAN MOTION MONITORING SYSTEM BASED ON JOINT ANGLE SENSORS AND SMART SHOES

机译:一种基于关节角度传感器和智能鞋的无线人体运动监控系统

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In this paper, a wireless human motion monitoring system based on joint angle sensors and smart shoes is introduced. An inertial measurement unit (IMU) is employed in a joint angle sensor to estimate the lower-extremity joint rotation in three dimensions. Four pressure sensors are embedded in a smart shoe to measure the distribution of ground contact forces (GCFs). Zigbee and Bluetooth modules are combined with the joint angle sensors and smart shoes respectively to make the whole system wireless. It is shown that gait phase and step length can be calculated based on the raw sensor data for gait analysis. To provide visual feedback to the users, with the consent of Apple Inc., an user interface application is developed on an iPad. Experimental results are obtained from both a healthy subject and a stroke patient for comparison. Some discussions are made about the potential use of this system in a clinical environment.
机译:本文介绍了一种基于关节角度传感器和智能鞋的无线人体运动监测系统。惯性测量单元(IMU)用于关节角度传感器,以估计三维下肢关节​​旋转。在智能鞋中嵌入四个压力传感器,以测量接地力(GCF)的分布。 ZigBee和蓝牙模块分别与关节角度传感器和智能鞋组合,以使整个系统无线。结果表明,可以基于用于步态分析的原始传感器数据来计算步态相位和步长。为用户提供对用户的视觉反馈,同意Apple Inc.的同意,在iPad上开发了一个用户界面应用程序。实验结果是从健康受试者和中风患者获得的实验结果进行比较。有些讨论是关于该系统在临床环境中的潜在使用。

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