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July 26, 2026International Journal of Pattern Recognition and Artificial Intelligence

AI Technology for Digital Media in Spatial Interactive Design of Immersive Art Experience Hall under AM-MF-ELM Algorithm

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Authors

GKGuohao KongLZLong ZhangJKJunghyen Kim

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Overview

Randomized trial demonstrates improved interactive art experiences in audiences, suggesting enhanced engagement and personalization.

Key Points

  • This study investigates the integration of AI and digital media to enhance audience interaction with artworks in immersive art environments.
  • Conducted a design framework for spatial interaction using multimodal gesture recognition technology.
  • Developed an improved Extreme Learning Machine algorithm for gesture recognition.
  • Constructed a Technology-Art-Cognition coupling model to analyze audience experience dynamics.
  • Achieved 98.6% recognition accuracy on a high-precision gesture dataset, improving by 1.4% over traditional ELM (97.2%).
  • Outperformed the SVM classifier by 6.1% (SVM accuracy: 92.5%).
  • Demonstrated effective integration of attention mechanisms and multi-feature fusion for improved gesture recognition.

Cite This Study

Kong et al. (2026) studied this question.

synapsesocial.com/papers/6a65a468d3aea3239cd770cehttps://doi.org/10.1142/s0218001426400252
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