Evaluation Algorithm for Team Strength Based on the Collected Healthcare Data through IoT and Smart Devices

Area of Science:

• Sports Science
• Data Science
• Engineering

Background:

• Traditional team strength evaluation relies on subjective factors like intuition and win-loss records, which are analytically insufficient.
• Existing metrics fail to capture the nuanced performance dynamics crucial for accurate team strength assessment.
• The need for an objective, data-driven approach to quantify team strength is evident.

Purpose of the Study:

• To develop a novel algorithm for evaluating team strength by analyzing the variance coefficient of basketball scoring frequency.
• To integrate data from Internet of Things (IoT) devices and smart devices for comprehensive player and team performance analysis.
• To establish a robust model for real-time team strength evaluation.

Main Methods:

• Designed a principal model for basketball players' pitching target system based on the variation coefficient of basketball scoring frequency.
• Utilized IoT devices for data capture and employed Gabor filter transformation features for algorithm optimization.
• Implemented cascade feature extraction from basketball score videos, constructing discrimination rules for target detection and tracking.

Main Results:

• The developed algorithm demonstrated optimal execution time and high efficiency in team strength evaluation.
• Achieved a higher number of successful evaluation targets and enhanced reliability compared to conventional methods.
• Successfully tracked basketball targets and extracted frame information for comprehensive analysis.

Conclusions:

• The proposed method provides a significant advancement in objective team strength evaluation, moving beyond simple win-loss metrics.
• The study offers a theoretical foundation and practical solution for real-time team strength assessment using scoring frequency analysis.
• The algorithm's efficiency, reliability, and accuracy make it a valuable tool for sports analytics and team management.