Dynamic Graphical Indicator Scaling for Fitness Metrics
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Solution Overview
Problem
Conventional graphical indicators for fitness-related information on exercise devices and wearables do not effectively utilize display space and provide an intuitive understanding of user progress, leading to suboptimal motivation and feedback.
Innovation Solution
A system that receives activity data from users, determines relevant metrics, and generates graphical indicators based on a dynamic display scale, optimizing the display area by associating metric values with graphical characteristics such as length or number of icons, and positions them along an arc to represent time intervals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional graphical indicators are used to display fitness-related information, then the display provides basic information presentation, but the display space utilization is inefficient and the intuitive understanding of user progress is poor
Solution Approach 1:
The patent implements dynamic scaling of graphical indicators where the display scale adjusts automatically based on the range of metric values observed. The system determines a maximum value from historical data and calculates a scaling factor that adapts the visual representation to the data range, making the display both space-efficient and intuitively understandable across varying activity levels.
Solution Approach 2:
The patent changes the visual parameters of graphical indicators by varying their length, position, and scale based on the metric values being displayed. The length of graphical indicators is proportional to the metric values, and the display scale parameter is dynamically adjusted to optimize both space utilization and intuitive comprehension of progress.
2Adaptability or versatility
If fixed-scale graphical indicators are used, then the display implementation is simple, but the display cannot adapt to varying ranges of metric values and wastes display space
Solution Approach 1:
The patent performs preliminary determination of the display scale by analyzing historical metric data before displaying new measurements. The system calculates the maximum value from a set of historical measurements and pre-computes the scaling factor, so that when new data arrives, it can be immediately and accurately represented without real-time calculation complexity.
3Ease of operation
If metric values are displayed without personalized scaling, then the display format is consistent, but the visual feedback does not effectively motivate users or convey progress toward fitness goals
Solution Approach 1:
The patent applies localized optimization to the display by tailoring the visual representation to each user's specific metric ranges and progress patterns. The display scale is personalized based on individual historical data, and graphical indicators are positioned and sized to highlight relevant progress information, making the feedback more motivating and easier to understand for each user.
Data Source
AI summary
Some aspects relate to reception from a user, via a sensor, first data indicative of activity of the user, determination of one or more values of a metric based on the first data, determination of a display scale based on the one or more values, reception from the user, via the sensor, second data indicative of activity of the user over a time interval, determination of a second value of the metric based on the second data, generation of a first graphical indicator representing the second value based on the display scale and the second value, and display of the first graphical indicator on a display.