Exercise Warning Control Using Fatigue and Goal Conditions
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Solution Overview
Problem
Existing exercise monitoring systems provide unnecessary warnings due to strict adherence to predetermined thresholds, failing to consider factors like fatigue level, exercise content, goal achievement, and athletic ability, leading to user discomfort.
Innovation Solution
An information processing device that adjusts warning thresholds based on conditions such as warning duration, fatigue level, exercise content, goal achievement, and athletic ability, reducing unnecessary warnings through a limiting process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a predetermined normal warning function is used to monitor exercise state, then exercise safety is improved, but user comfort deteriorates due to unnecessary warnings
Solution Approach 1:
The patent applies dynamics by making the warning threshold adaptable rather than fixed. The threshold dynamically adjusts based on the subject's walking pitch and exercise conditions. When walking pitch is small (indicating careful walking), the threshold automatically lowers to prevent unnecessary warnings, while maintaining higher thresholds for normal exercise states where safety monitoring is prioritized.
Solution Approach 2:
The patent changes the parameter of warning threshold based on detected exercise conditions. Specifically, it modifies the acceleration threshold value according to walking pitch measurements. This parameter adaptation allows the system to distinguish between genuine safety concerns and normal variations in exercise state, thereby reducing false warnings while maintaining safety monitoring effectiveness.
2Object-affected harmful factors
If warning threshold is set low to reduce false warnings, then user comfort is improved, but measurement precision deteriorates
Solution Approach 1:
The patent applies local quality by implementing different threshold values for different exercise conditions rather than a single global threshold. The system detects local characteristics (walking pitch) and applies appropriate threshold levels specifically tailored to each condition. This allows precise detection within each local context while avoiding false warnings that would result from using a uniformly low threshold.
Solution Approach 2:
The threshold dynamically adapts to exercise conditions through continuous monitoring of walking pitch. The system maintains high detection precision by adjusting the threshold in real-time based on the subject's actual exercise state, ensuring that the threshold remains appropriate for the current context rather than being statically set low.
3Reliability
If warning function is continuously active to ensure safety monitoring, then reliability is improved, but energy consumption increases
Solution Approach 1:
The patent implements periodic action by using intermittent threshold adjustments based on detected exercise conditions rather than continuous high-level monitoring. The system periodically evaluates walking pitch and exercise state to determine appropriate threshold levels, allowing the device to maintain safety monitoring while reducing energy consumption during periods where strict monitoring is less critical.
Solution Approach 2:
The system changes operational parameters (warning thresholds) based on exercise conditions to optimize energy consumption. By raising thresholds during conditions where false warnings are likely (small walking pitch) and maintaining lower thresholds only when necessary, the system reduces the frequency of warning operations and associated energy consumption while preserving essential safety monitoring capabilities.
Data Source
AI summary
Provided is an information processing method, a program, and an information processing device capable of limiting a warning function more appropriately. The information processing method performed by a computer includes: determining whether an execution condition is satisfied, the execution condition including at least one of a first condition related to the length of time during which a warning is generated by a predetermined normal warning function as a warning function related to an exercise state of a subject when performing a certain exercise; a second condition related to the fatigue level of the subject; a third condition that the content of the certain exercise being performed by the subject is not a certain content; a fourth condition related to the possibility of achieving the goal related to the certain exercise of the subject; and a fifth condition related to an athletic ability of the subject; and performing a limiting process of controlling the warning function so that the warning is more limited than in the case of the normal warning function, on the condition that the execution condition is satisfied.