Training Determination Device for Marathon Feedback
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Solution Overview
Problem
Existing training systems are insufficient in providing the necessary feedback for efficient marathon training, as they do not adequately combine different types of exercises to optimize training performance.
Innovation Solution
A training determination device that includes a determination unit to assess exercise data from running training, a storage unit to store training history, a calculation unit to perform cumulative distance calculations for each training type, and a display controller to visualize the cumulative totals, enabling users to efficiently plan and monitor their training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the training system provides basic feedback on training standards, then the user receives simple training information, but the feedback is insufficient for efficient marathon training
Solution Approach 1:
The system implements comprehensive feedback by calculating and displaying cumulative training distances across multiple dimensions (total distance, distance by training type, distance by time period). This multi-level feedback structure provides users with detailed information about their training progress, enabling them to make informed decisions about their marathon preparation and efficiently adjust their training plans.
Solution Approach 2:
The feedback information is segmented into distinct categories: overall cumulative distance, cumulative distance by training type (e.g., long run, speed work), and cumulative distance by time period. This segmentation allows users to analyze specific aspects of their training separately, providing targeted insights for improving marathon performance efficiency.
2Reliability
If the system stores detailed training history information, then comprehensive training data is available, but the system complexity increases
Solution Approach 1:
The training determination device performs multiple functions using a unified system architecture: it determines training type, stores training history, calculates cumulative distances across different dimensions, and displays comprehensive results. This multi-functional approach achieves reliable and comprehensive training tracking without requiring separate specialized systems for each function, thereby limiting the increase in overall system complexity.
3Loss of information
If the system performs multiple types of cumulative distance calculations, then comprehensive training analysis is provided, but the calculation complexity increases
Solution Approach 1:
The system performs preliminary calculations by maintaining running totals of cumulative distance as training data is collected. Instead of performing complex retrospective analyses, the system continuously updates cumulative distance metrics (total, by training type, by time period) during data entry, thereby providing comprehensive training analysis with simplified calculation processes.
Data Source
AI summary
A training determination device includes: a determination unit configured to determine a training type, based on exercise data obtained when a user has performed a running training; a storage unit configured to store training history information in which the training type determined by the determination unit is associated with time information for performed training and a moving distance during the performed training; a calculation unit configured to perform at least two types of different calculation for a cumulative total of the moving distance for each training type, based on the training history information stored in the storage unit; and a display controller configured to display an image indicating the cumulative total of the moving distance for each training type calculated by the calculation unit.