MEMS-based Inertial Sensor Motion Capture System And Track The Trajectory

Real-time tracking of human motion capture in education, human-computer interaction, video animation, medical research, competitive sports, games, sports, military, scientific and other fields, is an important research topic. With the continuous development of science and technology, efficient, fast, and accurate capture human motion behavior has become a reality, the current motion capture system has optical motion capture system, magnetic motion capture systems, mechanical motion capture system, inertial motion capture system, sensing device is able to overcome the inertia of his presence sensing device jitter, delay interference, slow drift problem of limiting the range of motion. This paper mainly discusses the MEMS-based inertial sensing equipment related to human movement capture technology and system design and implementation trajectory tracking, inertial sensors and wireless transmission systems based on simple structure, low cost, easy to operate, Easy to wear, high-precision, real-time advantages.Firstly, the motion capture system and the overall framework of trajectory tracking system has been designed, from the design of hardware and node selection function module demonstrates the feasibility of the system. Then the existing pose estimation algorithm analysis and research, from the complexity and execution efficiency of the algorithm, the selected Mahony complementary filter algorithm as herein pose estimation algorithm. Then the motion capture system, data acquisition nodes, relay nodes, server-side implementation of software functionality. The basic method used to study the human body motion capture system model, according to the basic dynamic theory to establish control stick like a three-dimensional model of the human skeleton model on the server side with OpenGL 3D rendered, based on Visual Studio 2010 MFC platform using C++ language. After the realization of the motion capture system, testers wear MEMS inertial sensing devices were tested experimental arm movements, the experimental results indicate that the server is able to display the correct human arm movements to achieve the basic functions of the human body motion capture system.Trajectory tracking is a supplement to the motion capture system, the first track on the existing MEMS inertial sensor tracking algorithm based on research and analysis, this paper presents an improved trajectory tracking algorithms, simulation results show that the improved algorithm Average error of only 2.22%.