Athletic Performance Tracking Device Excluding Transportation Movement
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Solution Overview
Problem
Current systems for monitoring athletic performance fail to differentiate between exercise and transportation, leading to inaccurate tracking of progress towards fitness goals, as they do not account for movement caused by transportation modes like cars or planes.
Innovation Solution
A device and method that utilize a location system to track movement, differentiate between exercise and transportation by comparing velocity to a threshold value and querying databases of transportation routes, ensuring that only relevant exercise data is accumulated towards performance goals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the device tracks all movement to monitor athletic performance, then the quantity of performance data increases, but the measurement precision deteriorates due to inclusion of transportation movement
Solution Approach 1:
The patent extracts and removes transportation-related movement data from the total movement tracking. By identifying movement patterns characteristic of transportation (e.g., high speed, linear paths, use of transportation infrastructure) and excluding them, the system retains only exercise-related movement data, thereby improving measurement precision while maintaining comprehensive tracking coverage
Solution Approach 2:
The patent segments movement data into distinct categories: exercise movement and transportation movement. By classifying and separating these different types of movement based on detected characteristics (speed, duration, location patterns), the system can accurately track athletic performance without contamination from transportation activities
2Measurement precision
If the device excludes transportation movement to improve accuracy, then the measurement precision improves, but the device complexity increases due to differentiation requirements
Solution Approach 1:
The patent changes key parameters of movement detection to differentiate exercise from transportation. By monitoring parameters such as speed thresholds, duration of movement, acceleration patterns, and location data, the system automatically distinguishes between exercise and transportation without requiring complex manual intervention or sophisticated analysis algorithms
Solution Approach 2:
The system performs self-service by automatically detecting and classifying movement types without requiring user input or manual configuration. The device autonomously determines whether detected movement is exercise or transportation based on pre-programmed criteria, simplifying the user experience while maintaining high measurement precision
Data Source
AI summary
Methods, systems, and products are disclosed for monitoring athletic performance. Information is acquired that indicates a device is in movement. The movement is differentiated from transportation. When the movement indicates transportation, then the movement is excluded as unrelated to the athletic performance.