Constructing Swimming Training Model Based on Cyclic Coordinate Descent Algorithm

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Abstract

In this paper, the cyclic coordinate descent algorithm is used to solve the target attitude of the constrained frame. The motion is smoothed by constructing the motion offset mapping curve near the constraint frame. The motion editing and redirection can be accomplished by adjusting the displacement ratio of root nodes and estimating the initial position. The cyclic coordinate descent algorithm generates the keyframe actions corresponding to the key moments in the virtual human swimming movement cycle division. Then, the spherical linear interpolation based on four elements is used to generate the intermediate frame action in the swimming movement. The simulation results of swimming training show that the method can generate a relatively smooth human swimming process. Finally, a simple simulation of the swimming training model based on the cyclic coordinate descent algorithm is carried out to achieve a more realistic simulation effect. The experimental results show that this method is relatively complete and retains the characteristics of the original motion well, and the redirected motion is smooth and natural.

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APA

Chen, H. (2022). Constructing Swimming Training Model Based on Cyclic Coordinate Descent Algorithm. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/2044060

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