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Intelligent Physical Training Data Processing Based on Wearable Devices.

Xuguang Liu1

  • 1Nanjing University of Information Science and Technology, Nanjing 210044, China.

Computational Intelligence and Neuroscience
|May 31, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an intelligent method for processing physical training data from wearable devices. The approach enhances feature extraction and classification accuracy for sports analytics, outperforming existing techniques.

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Area of Science:

  • Sports Science
  • Data Science
  • Machine Learning

Background:

  • Wearable devices generate vast amounts of physical training data.
  • Current data processing methods struggle to extract meaningful features, limiting classification accuracy.
  • Effective feature extraction is crucial for optimizing physical training and sports analytics.

Purpose of the Study:

  • To propose an intelligent method for processing sports training data.
  • To improve the accuracy of classification tasks in physical training analysis.
  • To enhance the efficiency and rationality of physical training through advanced data processing.

Main Methods:

  • Data preprocessing using statistical methods to generate initial feature vectors.
  • High-level feature extraction utilizing an autoencoder model.
  • Classification using a designed convolutional neural network (CNN) model.

Main Results:

  • The proposed method effectively extracts high-level hidden features from sports training data.
  • The autoencoder and CNN combination significantly improves classification accuracy.
  • The method achieves superior performance compared to existing approaches on the Human Activity Recognition Using Smartphones Dataset.

Conclusions:

  • The intelligent processing method offers a significant advancement in analyzing physical training data.
  • This approach enhances the potential for personalized and optimized sports training.
  • The study demonstrates the effectiveness of deep learning and statistical methods in sports data analytics.