What does this research mean for the field?

An integrated framework combining multimodal sensing, knowledge graph modeling, and digital twin technology provides an effective, high-performance solution for the digital preservation and immersive interactive exploration of cultural and historical resources. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop an integrated framework combining multimodal sensing, knowledge graph modeling, and digital twin technology for the preservation and interactive visualization of cultural and historical sports resources.

August 16, 2026Advanced ElectromagneticsOpen Access

Design of Digital Protection and Immersive Experience System for Red Sports Resources— Taking the History of Basketball Development as an Example

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Authors

LXL. Xin XSX. Y. Sheng

Discussion

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Overview

Framework evaluation demonstrates real-time rendering and high entity recognition accuracy in sports history preservation, suggesting scalable applications for digital twins.

Key Points

To develop an integrated framework combining multimodal sensing, knowledge graph modeling, and digital twin technology for the preservation and interactive visualization of cultural and historical sports resources.
Constructed structured digital assets using high-resolution 3D laser scanning, UAV photogrammetry, optical character recognition, and multimodal data fusion.
Organized historical entities, events, and spatiotemporal relations via a domain-oriented semantic knowledge graph paired with an event-driven reasoning engine.
Implemented a lightweight digital twin framework for real-time rendering and behavioral simulation in immersive virtual environments.
Achieved an entity recognition accuracy exceeding 97.8% across domain-oriented semantic knowledge graph modeling.
Maintained an average rendering performance above 110 frames per second (FPS) under most operating conditions with low-latency dynamic content generation.

Cite This Study

Xin et al. (2026) studied this question.

synapsesocial.com/papers/6a817a33f2fb91fc834add87 https://doi.org/10.7716/aem.v15i3.3351

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August 16, 2026Advanced ElectromagneticsOpen Access

Design of Digital Protection and Immersive Experience System for Red Sports Resources— Taking the History of Basketball Development as an Example

View Full Paper

Ask AI

Bookmark

Authors

LXL. Xin XSX. Y. Sheng

Discussion

Member takes

Overview

Framework evaluation demonstrates real-time rendering and high entity recognition accuracy in sports history preservation, suggesting scalable applications for digital twins.

Key Points

To develop an integrated framework combining multimodal sensing, knowledge graph modeling, and digital twin technology for the preservation and interactive visualization of cultural and historical sports resources.
Constructed structured digital assets using high-resolution 3D laser scanning, UAV photogrammetry, optical character recognition, and multimodal data fusion.
Organized historical entities, events, and spatiotemporal relations via a domain-oriented semantic knowledge graph paired with an event-driven reasoning engine.
Implemented a lightweight digital twin framework for real-time rendering and behavioral simulation in immersive virtual environments.
Achieved an entity recognition accuracy exceeding 97.8% across domain-oriented semantic knowledge graph modeling.
Maintained an average rendering performance above 110 frames per second (FPS) under most operating conditions with low-latency dynamic content generation.

Cite This Study

Xin et al. (2026) studied this question.

synapsesocial.com/papers/6a817a33f2fb91fc834add87 https://doi.org/10.7716/aem.v15i3.3351

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