The Design And Implementation Of A Motion Capture System Based On MEMS Sensors And Zigbee Network

Human body motion capture systems are widely used in the creation of film,motion analysis, video games, rehabilitation medicine, and other fields. This paperdiscusses the design and implementation of the human body motion capture systembased on MEMS sensors and Zigbee network. The system can obtain human body’saction informationbyseveral sensor nodes installed in various parts of human body, andupload the information to the host computer by sensor network.First, this paper describes the characteristics of the angular velocity sensors,acceleration sensors, magnetoresistive sensors and Zigbee network.Then, this paper describes the overall structure of the human body motion capturesystem, and explains how to use the angular velocity sensors, acceleration sensors,magnetoresistive sensors and Zigbee network to capture human body motion from atheoretical point of view. This section focuses on the vector observation algorithm andthe angular velocity integral algorithm, and their advantages and disadvantages areanalyzed. In order to achieve the complementary advantages of the two algorithms, adata fusion algorithm based on the complementary filter is used, and some properoptimization of the complementary filter is introduced. In addition, the Zigbee networkand its optimization methods are also introduced in this section.After that, the paper describes the system hardware architecture, chip selectionscheme, circuit design, software workflow and core program implementation.Finally, this paper shows the actual effectiveness of the system and verifies theeffectiveness of theory.