Normalized Pace Comparison for Route Segments
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Solution Overview
Problem
Existing systems fail to provide realistic comparisons between physical activities performed by multiple actors on different routes due to varying physical and environmental conditions, making it difficult to accurately assess performance across different locations and environments.
Innovation Solution
A computer-implemented method that calculates normalized scores for route segments based on physical and environmental conditions, allowing for pace comparisons between actors by generating normalized paces and outputting pace comparisons based on these scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pace comparisons are made between actors on different routes, then performance comparison capability is improved, but accuracy of comparison deteriorates due to varying physical and environmental conditions
Solution Approach 1:
The patent transforms raw pace data into normalized pace values by applying correction factors that account for route-specific physical conditions (e.g., elevation, distance) and environmental conditions (e.g., temperature, humidity, wind). This parameter transformation enables accurate cross-route comparisons by adjusting measurements to a common reference framework.
Solution Approach 2:
The patent introduces normalized pace as an intermediary metric between actual pace and comparable performance assessment. This intermediate representation decouples the raw measurement from the comparison process, allowing route-specific conditions to be factored out and enabling fair comparisons across different routes.
2Reliability
If normalized scores are calculated for each route segment, then fairness of performance assessment is improved, but system complexity increases
Solution Approach 1:
The patent divides routes into discrete segments and calculates normalized scores for each segment independently. This segmentation allows for granular adjustment of performance data based on local route conditions, improving fairness while enabling modular computation that manages system complexity through divide-and-conquer.
Solution Approach 2:
The system transforms multiple route condition parameters (elevation, distance, temperature, humidity, wind) into a single normalized score for each segment. This parameter aggregation simplifies the complexity by consolidating multiple influencing factors into one composite metric that can be applied uniformly across all actors.
Data Source
AI summary
A computer-implemented method, according to one embodiment, includes calculating or receiving a normalized score for each segment of at least one route based on physical route conditions and environmental route conditions of the associated route, generating a pace comparison of multiple actors participating in a physical activity under different route conditions, and outputting the pace comparison. The pace comparison is based on the normalized scores of the segments of the route associated with each respective actor and a pace of each respective actor on the respective route. A computer program product for comparing paces of multiple actors, according to another embodiment, includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.