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Wearable Running Training Data Acquisition System Based on Intelligent Computer Technology.

Ruirui Zhang1, Zhao Liu1, Zhansheng Chang1

  • 1School of Computer Science and Engineering, Cangzhou Normal University, Cangzhou 061001, China.

Computational and Mathematical Methods in Medicine
|July 11, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a wearable system for accurate running training data collection. It utilizes intelligent computer technology and a novel algorithm to overcome the limitations of rapid motion changes, improving data acquisition accuracy.

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Area of Science:

  • Sports Science
  • Computer Engineering
  • Wearable Technology

Background:

  • Instantaneous motion during running training exhibits rapid changes, leading to low data acquisition accuracy.
  • Existing methods struggle to capture dynamic running movements effectively.
  • There is a need for a robust system to accurately collect running training data.

Purpose of the Study:

  • To design and develop a wearable running training data acquisition system.
  • To enhance the accuracy of motion detection and counting during running.
  • To leverage intelligent computer technology for improved data collection.

Main Methods:

  • Hardware design involved configuring main control chip, inertial, and magnetic sensors for motion data (acceleration, angular velocity) in binary complement format.
  • Bluetooth technology was employed for seamless data transmission between hardware and software components.
  • System software utilized the LDA recognition algorithm to decompose dynamic data into static data for accurate motion analysis.

Main Results:

  • The designed wearable system demonstrated good quality in motion detection.
  • The system achieved high accuracy in counting running repetitions.
  • The LDA algorithm effectively processed dynamic running data.

Conclusions:

  • The developed wearable system effectively addresses the challenge of low accuracy in running training data acquisition.
  • Intelligent computer technology, particularly the LDA algorithm, significantly improves motion detection and counting.
  • The system offers a promising solution for accurate and reliable sports training data collection.