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Sporting a virtual future: exploring sports and virtual reality patents using deep learning-based analysis.

Jea Woog Lee1, Sangmin Song2, JungMin Yun2

  • 1College of Sport Sciences, Chung-Ang University, Ansoeng, Republic of South Korea.

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Summary
This summary is machine-generated.

This study introduces SportsBERT, a novel deep learning model for analyzing virtual reality (VR) sports patents. It reveals key technological trends and challenges in VR sports, offering a roadmap for future innovation.

Keywords:
BERTDeep learningNatural language processingSports patentTopic modelingVirtual reality

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Area of Science:

  • Sports Technology
  • Human-Computer Interaction
  • Virtual Reality

Background:

  • The Fourth Industrial Revolution is merging sports with emerging technologies.
  • Virtual Reality (VR) applications are increasingly relevant in the sports domain.
  • Analyzing sports-related patent data is crucial for understanding technological advancements.

Purpose of the Study:

  • To introduce SportsBERT, a BERT-based algorithm for natural language processing of sports knowledge.
  • To identify key themes and technological trends in sports-related VR patents.
  • To provide insights into the knowledge structure and future development of VR sports technology.

Main Methods:

  • Utilized patent big data for analysis.
  • Developed SportsBERT, a bidirectional encoder representation from transformers (BERT)-based algorithm.
  • Applied topic modeling to extract themes from sports-related VR patents.

Main Results:

  • Identified key drivers: spatial hardware, tactile human-computer interactions, aerobic exercise, rehabilitation, and swing sports.
  • Highlighted challenges: high cost and usability limitations of current VR devices.
  • Established a deep learning-based topic modeling approach for sports patents.

Conclusions:

  • SportsBERT offers enhanced natural language processing for sports knowledge.
  • The study provides a comprehensive roadmap for VR sports technology development.
  • Future research should address VR cost and usability to accelerate adoption.