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This study introduces a wireless sensor network for human body positioning, enhancing basketball training data management. It utilizes infrared signals and 5G technology to analyze player movement for improved coaching strategies.

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Area of Science:

  • Sports Science
  • Sensor Technology
  • Information Management

Background:

  • Basketball teams require advanced training data management systems.
  • Data visualization has shifted sports information management towards graphical models.
  • Current Chinese college basketball training methods have limitations impacting player development.

Purpose of the Study:

  • To design a human body positioning system using wireless sensor networks for basketball training.
  • To analyze the effectiveness of wireless sensing technology, particularly 5G, in tracking player movements.
  • To propose improved basketball training and education methods based on analyzed data.

Main Methods:

  • Designed a human body positioning system utilizing wireless sensor networks (WSN).
  • Employed pyroelectric infrared sensors with signal tuning circuits and cylindrical Fresnel lens arrays.
  • Integrated sensor nodes into a WSN for data transmission to an upper computer for analysis.
  • Utilized 5G technology for wireless sensing and human body positioning.

Main Results:

  • The system effectively detects and analyzes the position, speed, and movement of moving human bodies using infrared signals.
  • Demonstrated the successful integration of wireless pyroelectric infrared sensor network systems.
  • Validated the progress of wireless sensing technology in human body positioning applications.

Conclusions:

  • Wireless sensing technology, enhanced by 5G, offers significant advancements for human body positioning in sports.
  • The developed system can provide valuable insights for optimizing basketball training and coaching strategies.
  • Addressing drawbacks in current training methods is crucial for enhancing college basketball development.