Dynamic Display Mode Selection for Exercise Sensors
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Personal measurement apparatuses, such as running and cycling computers, face usability challenges during exercise, particularly in effectively displaying relevant data to users in real-time.
Innovation Solution
A processor-based apparatus and method that automatically identifies the current exercise phase using various sensors and selects a relevant display mode from multiple options, allowing for dynamic display of exercise data without user intervention, enhancing user safety and data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple display modes are provided for different exercise phases, then the relevance and usefulness of displayed data is improved, but the device complexity increases
Solution Approach 1:
The display mode is made dynamic by automatically switching between different display configurations based on the detected exercise phase. The system transitions from static display modes to dynamic adaptation, where the processor continuously monitors exercise data and adjusts the displayed parameters according to the current exercise phase, resolving the contradiction between adaptability and complexity through automated dynamic adjustment.
Solution Approach 2:
The system performs self-service by automatically identifying exercise phases and selecting appropriate display modes without user intervention. The processor autonomously analyzes exercise data, determines the current phase, and configures the display accordingly, eliminating the need for manual mode selection and reducing the perceived complexity for the user while maintaining high adaptability.
2Ease of operation
If automatic exercise phase identification is implemented, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The system implements self-service by automatically identifying exercise phases through continuous analysis of exercise data without requiring user input or manual phase selection. The processor autonomously detects phase transitions and adjusts display parameters accordingly, significantly improving ease of operation while the increased processing complexity is internalized and not reflected in the user interface.
Solution Approach 2:
The system uses feedback mechanisms by continuously monitoring exercise data parameters and using this information to automatically adjust display modes. The processor creates a closed-loop system where exercise data feeds back into phase identification algorithms, which then control display configuration, improving operational simplicity through automated feedback-driven adaptation.
Data Source
AI summary
An apparatus, a method, and a computer program are disclosed. The apparatus comprises a processor. The processor is configured to obtain exercise data of a user from a measurement sensor, to identify a present exercise phase of an exercise from among a plurality of exercise phases on the basis of the exercise data, and to select a relevant display mode from among a plurality of display modes on the basis of the present exercise phase and a mapping between the display modes and the exercise phases, wherein the relevant display mode defines a set of display elements associated with the present exercise phase to be displayed to the user.