Virtual reality driving method and virtual reality system based on arm motion capture

Abstract

The invention discloses a virtual reality driving method based on arm motion capture and a virtual reality system. The method includes initializing a preset pose to obtain initial pose data when the human body wears the motion capture system; capturing real-time pose data of the human body, According to the real-time posture data and the initial posture data, the first arm posture is determined by the transformation matrix method between the arm links; according to the preset built-in model, the first arm posture is converted into the second arm posture of the preset virtual character, and according to The second arm gesture drives a preset virtual character. This application obtains initial pose data and real-time pose data, and utilizes the arm kinematic chain structure to determine the arm pose data in the form of a transformation matrix between links to improve the accuracy of arm motion recognition. At the same time, based on the built-in model, the arm posture data is converted to drive the movement of the 3D virtual character, ensuring that the spatial position of the virtual character and arm is consistent with that of the real character.

Description

technical field [0001] The invention relates to the technical field of intelligent terminals, in particular to a virtual reality driving method and a virtual reality system based on arm motion capture. Background technique [0002] Virtual reality (VR) is a new technology that "seamlessly" integrates real world information and virtual world information. Through cutting-edge technologies such as computers, it combines reality and illusion that could not be experienced in the real world. After the simulation is superimposed, the imaginary characters or objects are superimposed on the real world, which is perceived by human visual senses, so as to achieve an experience beyond reality. In this way, the real environment and illusory objects can be superimposed into the same space in real time. Existing virtual reality is generally based on the motion capture system to recognize human body movements, and control virtual reality characters according to human body movements, especi...

AI Technical Summary

Problems solved by technology

However, the effect of capturing arm movements in the above-mentioned way is not good. For example, the method based on computer vision is easily disturbed by the external environment, such as lighting conditions, backgrounds, and occluders; the method based on inertial sensors is affected by measurement noise and wandering. Influenced by factors such as errors, it is impossible to track accurately for a long time

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