Abstract
This paper uses the XSENS sensor inertial motion capture device to collect the experimental data of the human body’s typical motion and posture‐upper limb movement, based on the angular acceleration kinematics parameters of the human body’s upper limbs and upper limbs. We study the characteristics of human kinematics, statics, and dynamics and construct the upper limb movement model of the human body. Secondly, based on the principle of human anatomy, the human body is divided into 23 segments, with 18 upper limbs and 36 degrees of freedom; some anatomical terms are defined, and a unified coordinate system for the upper limb model of the human body is planned and established. In the process of experimental simulation, on the basis of analyzing and summarizing the laws and characteristics of the upper limb angles of the hip upper limbs, knee upper limbs, and ankle upper limbs during walking, a general function of the upper limb angles of the three upper limbs changing with time during walking was established. On the basis of analyzing 40 sets of upper limb movement data, with the three parameters of height, weight, and upper limb movement cycle as independent variables, the general function coefficient solving equation is given through function fitting. Finally, the production of interactive animation of upper limb movement is taken as an example. Based on the acceleration sensor and three‐axis gyroscope, the limbs during the movement of the upper limb motion data are collected, preprocessed, and transmitted, and then, coordinate correction and data filtering are used to output quaternary parameters to give Maya an animated character model. The animation interactive demonstration is carried out in the way of web 3D, and the XSENS sensor is explored in the animation capture.
Highlights
With the maturity of XSENS motion capture technology, the display of realistic three-dimensional upper limb motion movement through inertial three-dimensional motion capture allows users to obtain a visual virtual animation interactive learning experience and realizes upper limb motion learning under digital media and Internet technology [1]
In response to the above problems, based on the research theory and data support required by parallel humanoid animation objects and based on the XSENS sensor inertial motion capture device, this paper selects the typical human movement-upper limb movement and initially explores the three independent variables of a natural person’s height, weight, and upper limb movement cycle; the general function of the upper limb angle changes with time when the human upper limb moves
In view of the spherical motion properties of the upper limbs of the human body, the working space is simplified into a part of the spherical surface, and the spherical surface enveloped by the trajectory of the upper limb output mark is divided into the joint flexible working space, and the measured data of the upper limb flexible working space is collected and analyzed the characteristics of flexible working space of upper limbs from two description forms of spherical coordinates and Euler angles
Summary
With the maturity of XSENS motion capture technology, the display of realistic three-dimensional upper limb motion movement through inertial three-dimensional motion capture allows users to obtain a visual virtual animation interactive learning experience and realizes upper limb motion learning under digital media and Internet technology [1]. In response to the above problems, based on the research theory and data support required by parallel humanoid animation objects and based on the XSENS sensor inertial motion capture device, this paper selects the typical human movement-upper limb movement and initially explores the three independent variables of a natural person’s height, weight, and upper limb movement cycle; the general function of the upper limb angle changes with time when the human upper limb moves. The XSENS inertial motion capture system is based on a unique miniature inertial motion transmission sensor and a wireless system, which avoids unnecessary data transmission lines or power lines to restrict the user’s movement It meets the requirements of sports biomechanics and can capture the inertial motion of the human body’s degree of freedom in real time. The data is transmitted to the computer through the wireless network, and the dynamic capture effect can be recorded and viewed in real time
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