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Panorama Scholarly Group · Open Access Publishing
Portrait of Xinhuan Zeng

Co-Editor-in-Chief

Xinhuan Zeng曾芯焕

Hanyang University

  • AI Motion Analysis
  • Digital Interactive Performance
  • Dance Education
Contact researcher

Profile

Biography

Xinhuan Zeng is a Ph.D. candidate in the Department of Dance at Hanyang University, where he also earned his Bachelor's and Master's degrees in Dance. His pioneering research explores the intersection of artificial intelligence and dance science, specifically focusing on the visualization and analysis of dance movements (such as Chinese classical dance and ballet) using advanced AI technologies like OpenPose and Mediapipe.

By combining AI motion tracking with expert evaluation models, his work aims to uncover the cognitive processes behind dance learning and creative decision-making. He also possesses extensive experience in choreography and digital interactive performance, having represented international teams at events such as the Daegu International Dance Festival.

He serves as the Co-Editor-in-Chief of the Global Review of Humanities, Arts and Society (GRHAS), where he drives international academic exchange and oversees rigorous editorial management.

Research Output

Selected Publications(3)

  1. 2025

    Reconstructing the Body and Space: A Comparative Study of Biped and Xihe Jianqi in Digital Interactive Dance

    Zeng, X.

    Global Review of Humanities, Arts and Society (Apr 2025)

    DOI: 10.63802/grhas.v1.i1.3
  2. 2025

    The Heterotopia of Dance: Imagined Spaces in Dance Films

    Huang, Y., & Zeng, X.

    Global Review of Humanities, Arts and Society (Jun 2025)

    DOI: 10.63802/grhas.v1.i2.29
  3. 2025

    The Impact of Basic Dance Training on the Creative Process: Focusing on Movement Habits and Creative Decisions

    Zeng, X. (Master's Thesis)

    Hanyang University, Graduate School of Dance

Capabilities

Technical & Artistic Expertise

AI Motion Analysis & Data

Proficient in advanced AI motion tracking frameworks including OpenPose, Mediapipe, and DeepLabCut. Highly skilled in statistical processing utilizing SPSS, AMOS, and G*Power.

Choreography & Stage Design

Extensive background in dance performance and choreography. Experienced in integrating projection mapping and motion visualization for digital interactive stage design.

Editorial network

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