<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The continuous development of artificial intelligence has brought new exploration paths and ideas for the teaching field, however, the current application and research of motion capture technology in college dance teaching mode is less. In this study, the human body and the appearance model are modeled in three dimensions: the simulated annealing particle swarm algorithm is used to optimize the human body modeling posture. Then, the feature vector matching algorithm is used to capture the human body’s movement posture, construct the college dance teaching mode, and carry out practical application. According to the study, the capture effect of the five movements in the dance teaching classroom video clip is between 0.865 and 0.945, and each movement is recognized with an accuracy of above 95%. After using this model, it was concluded by analyzing the effect of dance teaching that the number of excellent grades in the experimental group was 2 more than that in the control group, and the number of good grades was 2 more than that in the control group. This study provides a new development path for dance teaching in colleges and universities.</p>
</abstract>

The continuous development of artificial intelligence has brought new exploration paths and ideas for the teaching field, however, the current application and research of motion capture technology in college dance teaching mode is less. In this study, the human body and the appearance model are modeled in three dimensions: the simulated annealing particle swarm algorithm is used to optimize the human body modeling posture. Then, the feature vector matching algorithm is used to capture the human body’s movement posture, construct the college dance teaching mode, and carry out practical application. According to the study, the capture effect of the five movements in the dance teaching classroom video clip is between 0.865 and 0.945, and each movement is recognized with an accuracy of above 95%. After using this model, it was concluded by analyzing the effect of dance teaching that the number of excellent grades in the experimental group was 2 more than that in the control group, and the number of good grades was 2 more than that in the control group. This study provides a new development path for dance teaching in colleges and universities.

Exploring the Path of Innovative College Dance Teaching Models with Motion Capture Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The continuous development of artificial intelligence has brought new exploration paths and ideas for the teaching field, however, the current application and...

Exploring the Path of Innovative College Dance Teaching Models with Motion Capture Technology

Data publikacji: 03 cze 2024

Zakres stron: -

Otrzymano: 25 lut 2024

Przyjęty: 08 maj 2024

DOI: https://doi.org/10.2478/amns-2024-1302

Słowa kluczowe
Motion capture technology, Annealed particle swarm algorithm, Appearance model, Feature matching degree calculation, College dance teaching

© 2024 Zhenyi Sun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploring the Path of Innovative College Dance Teaching Models with Motion Capture Technology

Data publikacji: 03 cze 2024

Zakres stron: -

Otrzymano: 25 lut 2024

Przyjęty: 08 maj 2024

DOI: https://doi.org/10.2478/amns-2024-1302

Słowa kluczoweMotion capture technology, Annealed particle swarm algorithm, Appearance model, Feature matching degree calculation, College dance teaching

© 2024 Zhenyi Sun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Motion capture technology, Annealed particle swarm algorithm, Appearance model, Feature matching degree calculation, College dance teaching