Exercise Counting Recognition via Posture-Adaptive Schema
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Solution Overview
Problem
Existing electronic devices struggle to accurately recognize exercise counting in various postures, leading to inefficiencies in providing reliable exercise information to users.
Innovation Solution
An electronic device equipped with sensors and a processor that detects exercise start triggers, recognizes exercise-ready postures, provides guidance, and drives recognition schemas for accurate exercise counting, even when postures deviate from initial positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional exercise counting methods are used, then the system is simple to implement, but the recognition accuracy of exercise counting in various postures is poor
Solution Approach 1:
The patent segments the exercise counting recognition process into multiple independent modules: posture detection module, exercise type identification module, counting recognition module, and correction module. Each module handles a specific aspect of the recognition process, improving overall accuracy while maintaining manageable system complexity through modular design.
Solution Approach 2:
The system dynamically adjusts recognition schemas based on detected exercise postures and types. Different recognition algorithms and parameters are applied depending on the specific exercise being performed, allowing the system to optimize accuracy for each posture while adapting to varying exercise conditions in real-time.
2Measurement precision
If multiple recognition schemas are used for different postures, then the exercise counting accuracy improves, but the computational complexity increases
Solution Approach 1:
The patent applies different recognition schemas and computational approaches tailored to specific exercise postures and types. Each exercise category has optimized recognition parameters and algorithms suited to its characteristics, reducing unnecessary computational overhead while maintaining high accuracy for each specific case.
Solution Approach 2:
The system dynamically changes recognition parameters such as threshold values, time windows, and sensitivity settings based on the detected exercise type and posture. This adaptive parameter adjustment allows the system to maintain high recognition accuracy across different exercises while optimizing computational efficiency for each specific scenario.
3Reliability
If the system continuously monitors and corrects postures, then the exercise counting reliability improves, but the processing time increases
Solution Approach 1:
The patent implements periodic posture monitoring and correction at strategically determined intervals rather than continuous monitoring. The system checks postures at key moments in the exercise cycle and applies corrections only when deviations are detected, maintaining reliability while reducing unnecessary processing time during stable exercise execution.
Solution Approach 2:
The system automatically detects posture deviations and applies corrections without requiring continuous user input or manual intervention. The self-correcting mechanism maintains reliable exercise counting by autonomously adjusting for common posture variations, reducing the time burden on users while ensuring accurate tracking.
Data Source
AI summary
An electronic device includes: a display; at least one sensor; memory storing instructions; and at least one processor operatively connected to the display, the at least one sensor, and the memory and configured to execute the instructions to: provide exercise guidance based on detecting an exercise start trigger, recognize an exercise-ready posture of a user for a specified time period based on sensor data from at least one specified sensor of the at least one sensor, provide exercise posture information related to a type of an exercise corresponding to the exercise-ready posture, drive a recognition schema for counting the exercise corresponding to the exercise-ready posture, perform exercise counting based on the recognition schema, and provide exercise information based on the exercise counting.