Abstract
The motion of a real object model is reconstructed through measurements of the position, direction, and angle of moving objects in 3D space in a process called “motion capture.” With the development of inertial sensing technology, motion capture systems that are based on inertial sensing have become a research hot spot. However, the solution of motion attitude remains a challenge that restricts the rapid development of motion capture systems. In this study, a human motion capture system based on inertial sensors is developed, and the real-time movement of a human model controlled by real people’s movement is achieved. According to the features of the system of human motion capture and reappearance, a hierarchical modeling approach based on a 3D human body model is proposed. The method collects articular movement data on the basis of rigid body dynamics through a miniature sensor network, controls the human skeleton model, and reproduces human posture according to the features of human articular movement. Finally, the feasibility of the system is validated by testing of system properties via capture of continuous dynamic movement. Experiment results show that the scheme utilizes a real-time sensor network-driven human skeleton model to achieve the accurate reproduction of human motion state. The system also has good application value.
Highlights
With the development of computer science, 3D display technology has become increasingly mature; human motion reconstruction technology has broad application prospects in areas such as game, film and television design [1, 2], medical science [3, 4], and sports training [5, 6]
Optical systems are used for large game production, film shooting, and other applications that require high accuracy. They have high demands on the environment and are expensive. Because of their relatively short history, motion capture systems that are based on inertial sensors have yet to be fully developed
Sminchisescu [22] proposed a construction method by using an elliptic grid for the human body model to establish a human model and facilitate motion reconstruction based on monocular video sequences
Summary
With the development of computer science, 3D display technology has become increasingly mature; human motion reconstruction technology has broad application prospects in areas such as game, film and television design [1, 2], medical science [3, 4], and sports training [5, 6]. They have high demands on the environment and are expensive Because of their relatively short history, motion capture systems that are based on inertial sensors have yet to be fully developed. Given their low cost and close connection with the development of information technology features, such systems have become a new research field in human–machine interaction.
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