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Human posture detection based on human body communication with muti-carriers modulation

机译:基于人体通信的多载波调制人体姿态检测

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Multi-node sensors for human posture detection, by acquiring kinematic parameters of the human body, helps to further study the laws of human motion. It can be used as reference for the quantitative analysis tool for some specific application, such as healthcare, sports training and military affairs, etc. Compared with the traditional optical method, posture detection based on the inertial sensors has smaller limitation of space, lower cost, and easier implementation. In this paper, a human posture detection system was introduced. Utilizing the parameter data obtained by the inertial sensors, three-dimensional angles of the human hand movement could be calculated via quaternion algorithm for data fusion. The angles data transmission among the sensor nodes was successfully realized by the human body communication(HBC) transceivers based on capacitive coupling of multi-carriers OOK modulation at the data rate of 57.6kbps. The bit error rate(BER) was less than 10-5. The human posture could be reconstructed on the PC host. Ultimately, the implementation of the overall result showed the feasibility of the system.
机译:用于人体姿势检测的多节点传感器通过获取人体运动学参数,有助于进一步研究人体运动规律。可作为医疗,运动训练,军事等特定应用的定量分析工具的参考。与传统的光学方法相比,基于惯性传感器的姿态检测具有空间限制小,成本低的特点。 ,并且易于实现。本文介绍了一种人体姿势检测系统。利用惯性传感器获得的参数数据,可以通过四元数算法计算出人手运动的三维角度,以进行数据融合。人体通信(HBC)收发器基于多载波OOK调制的电容耦合,以57.6kbps的数据速率成功实现了传感器节点之间的角度数据传输。误码率(BER)小于10-5。可以在PC主机上重建人的姿势。最终,总体结果的实施证明了该系统的可行性。

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