Lactate-Based Exercise Feedback System for Fatigue Prediction
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Solution Overview
Problem
Current biometric systems, such as heart rate monitors, are insufficient for accurately predicting user exhaustion levels during physical exercise, as they rely on constant heart rate measurements, which do not account for individual variations in physiological condition, making it difficult to assess a user's physical shape and provide effective feedback.
Innovation Solution
A method and apparatus that utilize lactate level information from wearable sensors to adjust exercise characteristics, such as speed and route, based on target fatigue values, allowing for real-time feedback to users to match their current lactate levels with target levels, thereby providing more accurate physiological condition assessment and exercise guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If heart rate monitoring is used to assess user physiological condition, then the measurement method is simple and widely applicable, but the accuracy of predicting user exhaustion level and physical shape is insufficient
Solution Approach 1:
The patent transitions from monitoring heart rate to monitoring lactate levels, changing the physiological parameter being measured. This allows for more accurate assessment of exhaustion levels and physical condition, as lactate levels directly correlate with anaerobic threshold and fatigue state, resolving the measurement precision issue while maintaining wearable sensor technology
2Loss of information
If constant heart rate is assumed during physical exercise, then the monitoring approach is simple, but the ability to predict future exhaustion levels and physical shape is lost
Solution Approach 1:
The system continuously monitors lactate levels and provides real-time feedback to users about their exhaustion levels and predicted physical shape. This feedback mechanism allows users to adjust their exercise intensity based on actual physiological state rather than assuming constant heart rate, enabling prediction of future exhaustion levels while maintaining ease of operation through automated calculations
3Adaptability or versatility
If personalized target fatigue values are implemented, then the exercise guidance becomes more accurate, but the system requires more complex processing of individual physiological data
Solution Approach 1:
The system performs preliminary calculations of target lactate levels and corresponding exercise intensities based on user-specific factors (age, weight, fitness level) before the exercise session begins. During exercise, it simply compares real-time lactate measurements against pre-calculated targets, providing personalized guidance without requiring complex real-time processing, thus balancing adaptability with system simplicity
Data Source
AI summary
A method and apparatus for receiving, from a wearable sensor, current lactate level information of a user; setting, by the user, a target fatigue value; determining target lactate level information based on the target fatigue value; receiving characteristics of a physical exercise including information of an end of the physical exercise; determining adjusted characteristics of the physical exercise in order to match the current user lactate level information in the end of the physical exercise with the target lactate level information, based on the current lactate level information of the user, the target lactate level information and the characteristics for the physical exercise; and providing feedback to the user based on the adjusted characteristics of the physical exercise.