Exercise Intensity Guidance via Heart Rate and RPE Feedback
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Solution Overview
Problem
Existing exercise management programs provide inaccurate exercise intensity suggestions due to generalized oxygen consumption estimates, which can lead to inappropriate workout intensities and potential health risks for users.
Innovation Solution
A method that uses a wearable device to receive a user's heart rate and rate of perceived exertion (RPE) to determine personalized exercise intensity, utilizing an exercise history library to adjust and optimize workout guidance in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If generalized oxygen consumption values are used to estimate exercise intensity, then the calculation process is simple and quick, but the accuracy of exercise intensity estimation deteriorates due to not considering individual user characteristics
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors the user's actual heart rate and compares it with the target heart rate calculated from generalized formulas. Based on the deviation between actual and target heart rates, the system dynamically adjusts the exercise intensity recommendations. This feedback loop enables the system to adapt to individual user characteristics while maintaining a relatively simple overall structure, resolving the contradiction between measurement precision and device complexity.
Solution Approach 2:
The patent changes the parameter used for exercise intensity estimation from fixed generalized oxygen consumption values to dynamic heart rate-based parameters. By using actual measured heart rate data and comparing it with target values derived from user-specific parameters (age, gender), the system achieves more accurate exercise intensity estimation without requiring complex computational models, thus improving precision while controlling complexity.
2Reliability
If only generalized oxygen consumption values are used, then the system is easier to operate and requires fewer inputs, but the reliability of exercise guidance deteriorates leading to potential health risks
Solution Approach 1:
The patent enables the system to automatically collect and process user data including heart rate measurements from wearable devices, personal information such as age and gender, and exercise duration. The system self-adjusts exercise intensity recommendations based on this automatically gathered data without requiring manual input or complex user configuration. This self-service approach maintains ease of operation while significantly improving the reliability of exercise guidance through personalized adaptations.
Solution Approach 2:
The system continuously monitors exercise progression and compares actual heart rate data with target values, providing automatic feedback to adjust exercise intensity recommendations. This feedback mechanism enhances reliability by ensuring exercise guidance is continuously adapted to individual user responses, while the automated nature of the feedback loop preserves ease of operation by eliminating the need for manual user intervention in the adjustment process.
3Measurement precision
If personalized exercise intensity calculation is implemented using multiple parameters, then the accuracy and reliability of exercise guidance improve, but the calculation time and processing complexity increase
Solution Approach 1:
The patent performs preliminary calculations of target heart rate values and exercise intensity parameters before the actual exercise session begins, using user-specific data such as age, gender, and fitness level. By pre-calculating these parameters and storing them as reference values, the system reduces real-time calculation requirements during exercise, thereby improving measurement precision without significantly increasing calculation time. The preliminary action is performed once during system initialization or setup.
Solution Approach 2:
The patent replaces complex real-time physiological modeling with simpler heart rate-based comparisons and predefined calculation formulas. Instead of using computationally intensive metabolic calculations, the system uses straightforward heart rate monitoring and comparison with target values derived from basic user parameters. This substitution of complex mechanical calculations with simpler physiological measurements and arithmetic operations maintains high measurement precision while minimizing calculation time and processing requirements.
Data Source
AI summary
A method of providing exercise guide information that may include receiving a biosignal including a heart rate of a user, obtained through a wearable device, and a rate of perceived exertion (RPE), as indicated by the user, with respect to an exercise of a current order, and providing exercise guide information to the user according to a determined exercise intensity of the user in the current order that is based on the received biosignal and RPE.


