Tiredness Detection Using Dynamic Heart Rate Thresholds
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Solution Overview
Problem
Conventional smart devices fail to provide real-time feedback on user tiredness during exercise, leading to inappropriate notifications and inadequate adjustment of physical activity, and existing systems are prone to errors in determining tiredness based on heart rate variations.
Innovation Solution
A method and device that utilize heart rate, speed, and acceleration measurements to determine tiredness by defining exercise modes with varying thresholds and time periods, and adjust notifications based on dynamic heart-rate-related ratios and speed variations, distinguishing between exercise and rest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If heart rate monitoring is used to determine tiredness, then real-time feedback capability is improved, but notification accuracy deteriorates due to inappropriate notifications during exercise
Solution Approach 1:
The patent applies dynamics by making the tiredness determination thresholds dynamic rather than fixed. The system adjusts thresholds based on the user's current state (resting vs. exercising) by analyzing acceleration data. When acceleration exceeds a threshold, the system switches to exercise mode with different threshold criteria, thereby adapting the monitoring parameters to the current physiological state and improving notification accuracy while maintaining real-time feedback capability
Solution Approach 2:
The patent changes parameters by introducing multiple determination thresholds for different states. Instead of using a single fixed heart rate threshold, the system implements at least two different thresholds: one for resting state and another for exercise state. The system dynamically switches between these thresholds based on acceleration measurements, thereby resolving the contradiction between real-time feedback and accurate notification by adapting the parameters to the current context
2Device complexity
If fixed thresholds are used for tiredness determination, then device complexity is reduced, but measurement precision deteriorates due to inability to distinguish exercise from rest
Solution Approach 1:
The patent applies segmentation by dividing the monitoring system into multiple independent modules: an acceleration detection module, a state determination module, and a heart rate monitoring module. The acceleration module independently detects motion state and triggers appropriate threshold selection in the heart rate monitoring module. This segmentation allows the system to maintain relatively simple individual components while achieving high overall measurement precision through coordinated operation of multiple modules
Solution Approach 2:
The patent introduces acceleration detection as an intermediary element that mediates between the heart rate sensor and the tiredness determination logic. The acceleration data serves as a contextual indicator that helps distinguish whether the user is exercising or resting, thereby enabling more accurate tiredness assessment without requiring complex analysis algorithms. This intermediary approach improves measurement precision while keeping the overall system complexity manageable
Data Source
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AI summary
This disclosure provides a method for determining tiredness of a user, which utilizes heart rate measurements, speed measurements and a plurality of predetermined parameters to determine whether the user is exercising and to determine how tired the user is if the user is determined to be exercising. A notification is outputted when it is determined that the user is tired.