Exercise Feedback Using Biometric-Driven Tactile Guidance
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Solution Overview
Problem
Existing health management systems lack effective feedback mechanisms to guide users towards optimal exercise intensity levels, relying solely on basic metrics like step count and calorie consumption without considering individual biometric and movement data to provide personalized and adaptive feedback.
Innovation Solution
An exercise feedback provision apparatus that acquires user biometric and movement information, verifies the exercise intensity against predetermined ranges, and outputs tactile feedback based on control signals to guide users towards optimal exercise intensity through varying patterns and speeds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If basic health metrics (step count, calorie consumption) are provided without personalized feedback mechanisms, then the system is simple and easy to operate, but the exercise effectiveness and user engagement are insufficient
Solution Approach 1:
The patent implements a feedback mechanism where the controller receives biometric information (heart rate, blood pressure, blood oxygen saturation) and movement information from sensors, compares these values against predetermined reference ranges, and provides tactile feedback through a vibration motor when values fall outside the optimal range. This closed-loop feedback system guides users to adjust their exercise intensity, thereby improving exercise effectiveness while maintaining relatively simple system architecture.
Solution Approach 2:
The system enables users to self-monitor their exercise status by providing real-time tactile feedback when biometric or movement parameters deviate from optimal ranges. Users independently adjust their exercise intensity based on the feedback without requiring external coaching, making the health management system self-sufficient and effective.
2Adaptability or versatility
If real-time biometric monitoring and adaptive feedback are implemented, then personalized and adaptive feedback is provided, but the device complexity and processing requirements increase
Solution Approach 1:
The patent applies different feedback strategies based on specific biometric parameters and their corresponding reference ranges. Each parameter (heart rate, blood pressure, blood oxygen saturation, step count, moving speed) has its own predetermined optimal range, and the controller selectively provides feedback based on which parameter deviates from its range. This localized approach to feedback provides personalized adaptation without requiring complex holistic analysis of all parameters simultaneously.
Solution Approach 2:
The system monitors changes in biometric parameters (heart rate, blood pressure, blood oxygen saturation) and movement parameters (step count, moving speed) in real-time. When these parameters change and fall outside predetermined ranges, the controller adjusts the feedback signal accordingly. This parameter-based control enables personalized feedback adaptation while maintaining manageable processing complexity through straightforward threshold comparisons.
Data Source
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AI summary
An exercise feedback provision apparatus includes an acquirer configured to acquire exercise intensity information including either one or both of user biometric information and user movement information, and a controller configured to verify whether the exercise intensity information is in a predetermined range, and generate a control signal based on a result of the verifying. The apparatus further includes a feedback provider configured to output a tactile feedback based on a pattern corresponding to the control signal.