Title: Dynamic technology in dance art: the combination of computer simulation and five-position footwork movements

Authors: Sitong Chen; Jian Yang

Addresses: School of Literature and Media, Xi'an FanYi University, Chang'an District, Xi'an City, Shaanxi Province, China ' School of Literature and Media, Xi'an FanYi University, Chang'an District, Xi'an City, Shaanxi Province, China

Abstract: Traditional ballet dance teaching is teacher-centred. Due to differences in regional development, this 'teacher-centred' approach has the problem of unbalanced teaching resources and a lack of high-quality resources. This paper proposes a dance movement teaching system using computer simulation technology to solve this dilemma. Taking the teaching of the five-position footwork of the basic ballet movement as an example, the teaching system processes the students' movements in real-time through the mobile phone camera, extracts the key point sequence of the human skeleton based on the OpenPose algorithm, and evaluates the movement similarity with the optimised dynamic time warping (DTW) algorithm. Finally, the movements are annotated on the mobile phone screen and guided and corrected with voice broadcast. Compared with traditional one-on-one and one-to-many dance movement teaching by teachers, the action achievement rate (AAR) of students taught by this system reached 96.2% in the same period. In the hip external rotation angle test, the average angle difference decreased by 40.00% and 62.05%, respectively, and the standard deviation decreased by 55.74% and 64.34%, respectively. This fully demonstrates the advantages of this system in dance movement teaching and provides a new direction for the innovation of dance movement teaching.

Keywords: computer simulation; DTW optimisation; ballet five-position foot; movement compliance rate; hip external rotation angle.

DOI: 10.1504/IJART.2026.151925

International Journal of Arts and Technology, 2026 Vol.16 No.1, pp.75 - 94

Received: 27 Mar 2025
Accepted: 28 May 2025

Published online: 26 Feb 2026 *

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