Big Data-Driven Analysis of Specialized Physical Training in Track and Field: Implications for Biotechnological Innovation in Sports Performance

Authors

  • Yu Xiang Department of Basic Courses, Sichuan Vocational College of Chemical Technology, Luzhou 646000, Sichuan, China.
  • Ping Chen Department of Basic Courses, Sichuan Vocational College of Chemical Technology, Luzhou 646000, Sichuan, China.
  • Dingxuan Wang School of Physical Education, Southwest Medical University, Luzhou 646000,Sichuan, China.

DOI:

https://doi.org/10.5912/jcb1422

Abstract

The scientific research of track and field sports has traditionally relied on small to medium-scale studies, limiting the scope of performance optimization and training personalization. However, with the advent of the big data era, the ability to analyze large-scale datasets has transformed the landscape of athletic performance research. Big data technologies now play a pivotal role in identifying global patterns and trends in specialized physical training, offering new opportunities for performance enhancement and injury prevention. Beyond serving as a powerful analytical tool, big data facilitates high-quality, data-driven decision-making in sports science, enabling more precise and tailored training methodologies. This paper explores how big data analytics can be integrated with biotechnological innovations to optimize specialized physical training in track and field. By leveraging advanced data processing techniques, it becomes possible to analyze physiological, biomechanical, and performance-related variables at an unprecedented scale. Such insights can guide the development of personalized training programs, recovery protocols, and injury prevention strategies tailored to individual athletes. Moreover, big data design introduces a new paradigm in sports education and training, offering dynamic and adaptive models that align with the evolving needs of athletes and coaches. The integration of big data analytics with biotechnology holds significant potential for advancing sports performance through personalized training solutions, genetic profiling, and real-time health monitoring. This study provides a comprehensive analysis of how data-driven approaches can revolutionize training methodologies in track and field, highlighting their implications for the commercial biotechnology sector. The findings aim to offer valuable insights for sports scientists, coaches, and biotechnology enterprises seeking to develop cutting-edge solutions that enhance athletic performance, optimize recovery, and promote long-term health and well-being.

Published

2025-02-21