Personalized Training Course Generation via Geographical Matching
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Solution Overview
Problem
Current training methods for athletes lack personalization, as they typically focus on general improvements rather than addressing specific weaknesses related to the demands of a particular athletic event or course, and do not effectively utilize real-world locations with similar physical features for targeted training.
Innovation Solution
A data processing system that uses a cognitive computing system to analyze the physical features of a planned athletic event and identify matching geographical areas near the user, generating a personalized training course that addresses specific weaknesses by incorporating areas with similar characteristics, and continuously modifies the training regimen based on performance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If general training regimens are used to improve overall athletic performance, then broad physical improvements are achieved, but personalized training needs and specific event requirements are not addressed
Solution Approach 1:
The system performs preliminary actions by pre-processing event information to extract geographical segment characteristics before training generation. It pre-identifies matching training locations by comparing event characteristics with available training areas, and pre-generates personalized training regimens based on individual athlete assessments, thereby reducing complexity during actual training execution
Solution Approach 2:
The system segments the athletic event into geographical segments with distinct characteristics (e.g., flat terrain, hills, curves). Each segment is analyzed independently to identify specific training needs, allowing the system to create targeted training regimens for each segment rather than treating the entire event as a single unit
2Manufacturing precision
If training focuses on general areas of weakness, then overall athletic capability is improved, but specific event-related weaknesses are not adequately addressed
Solution Approach 1:
The system applies local quality by identifying specific geographical segments of the event that correspond to the athlete's weaknesses and creating training regimens targeted at those specific locations and characteristics. For example, if an athlete struggles with hill climbing, the system identifies hilly segments in the event and generates training specifically at matching hilly locations, rather than general strength training
3Adaptability or versatility
If personalized training regimens are created without considering event-specific characteristics, then individual needs are addressed, but event-specific performance requirements are not optimized
Solution Approach 1:
The system creates copies of event characteristics by extracting geographical segment data (terrain, elevation, distance) and using these copies to identify matching training locations. Instead of requiring the actual event location, the system creates simplified representations of event segments and matches them with available training areas, reducing processing complexity while maintaining event-specific customization
Data Source
AI summary
Mechanisms are provided for implementing a personalized training recommendation system. A request is received from a user to generate a personalized training regimen for a specified athletic event and event information is identified comprising characteristics of one or more geographical segments of the specified athletic event. Based on the event information, one or more portions of a geographical region are identified that approximate one or more characteristics of the one or more geographical segments within a predetermined tolerance. A training course is generated at least by combining a selected set of the portions of the geographical region based on an evaluation of a level of matching, for each portion, of characteristics of the portion to the one or more physical characteristics associated with the one or more geographical segments of the specified athletic event, which is then presented to the user as the personalized training regimen for the user.