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Proceedings of SAI Intelligent Systems Conference

IntelliSys 2019: Intelligent Systems and Applications pp 1034–1043Cite as

Design and Implementation of the IMU Human Body Motion Tracking System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1037))

Abstract

Real-time tracking of human motion has been applied in human-robot interaction, training and others. A new data acquisition and transfer method of full-body motion supporting cloud fusion, and realizing reliable and natural interaction is studied. A wearable device for the motion tracking is designed using the inertial measurement unit (IMU). This device adopts a tree-bus structure, and is divided into three levels: sensor node, sink node and mobile terminal. The sensor node is applied for motion acquisition of each key parts of the body skeleton, and establishes communication connection with the sink node by RS485 bus mode. The sink node not only plays the role of network routing and keeping the time synchronization of the system, but also controls and manages the entire network. Apart from the aforementioned functions, the sink node is also responsible for data collection and filter processing. It receives the motion data of sensor nodes connecting to it, then sends the data to a mobile terminal or PC by WIFI. The human body tracking system supports no more than 24 sensor nodes, whose data updating rate is up to 120 Hz, and the delay is lower than 20 ms.

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Acknowledgment

This project is supported by the National Key Research and Development Program of China (NO. 2016YFB1001302, NO. 2016YFB1001300).

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Authors and Affiliations

  1. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

    Qi Jin, Zequan Zhang & Wenguang Jin

Authors
  1. Qi Jin
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  2. Zequan Zhang
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  3. Wenguang Jin
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Corresponding author

Correspondence to Wenguang Jin .

Editor information

Editors and Affiliations

  1. School of Computing, Computer Science Research Institute, Ulster University, Newtownabbey, UK

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

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Jin, Q., Zhang, Z., Jin, W. (2020). Design and Implementation of the IMU Human Body Motion Tracking System. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1037. Springer, Cham. https://doi.org/10.1007/978-3-030-29516-5_77

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