Multi-Sensor Athlete Evaluation with Sport-Specific Heatmaps
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Solution Overview
Problem
Conventional athlete evaluation methods are subjective and lack uniform criteria, leading to inaccurate and incomplete assessments of athletic abilities.
Innovation Solution
A method and system for evaluating athletes by processing location and dynamic data specific to the sport, using GPS, UWB, and IMU sensors, and image data to generate heatmaps and correct for match-specific factors, enabling objective and comprehensive evaluations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional EPTS is used to evaluate athletes, then machine-based objective evaluation is achieved, but only partial and fragmentary individual athletic abilities are provided
Solution Approach 1:
The patent combines multiple data sources including location data from GPS/UWB, dynamic data from IMU sensors, and image data from cameras to create a comprehensive evaluation system that integrates fragmented athletic ability indicators into a unified assessment framework
Solution Approach 2:
The system processes multiple types of athletic data (location, dynamic, image) through a unified evaluation model that can assess various athletic abilities across different sports, making the evaluation system versatile and comprehensive rather than limited to specific fragmentary indicators
2Ease of operation
If conventional athlete evaluation methods are used, then evaluation process is simple, but criteria are ambiguous and not uniform leading to subjective evaluation
Solution Approach 1:
The patent transforms subjective evaluation criteria into quantifiable parameters by processing location coordinates, dynamic measurements, and image features through mathematical models that generate standardized evaluation scores, eliminating ambiguity while maintaining systematic assessment
3Measurement precision
If sport-specific data processing is implemented, then evaluation accuracy for specific sports is improved, but data processing complexity increases
Solution Approach 1:
The system applies sport-specific processing rules and evaluation criteria tailored to each sport's unique characteristics while maintaining a unified overall framework, allowing customized data processing for each sport without requiring completely separate systems for each sport type
Data Source
AI summary
Disclosed are an athlete evaluation method and a system and device for performing the same. The athlete evaluation method may include acquiring location data of a plurality of participants, computing a reference location of a specific sport participant on the basis of location data of other sport participants, generating relative location data of the specific participant from the location data of the specific participant in consideration of the reference location, generating heatmap data of the specific participant on the basis of the relative location data, and computing a performance index of the specific participant.