Mobile Fitness Test System Using Camera Verification
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Solution Overview
Problem
Current fitness testing methods are costly, difficult to administer at home, and lack accurate self-reporting and verification mechanisms, making it challenging to measure individual fitness improvements regularly and anonymously within a group setting.
Innovation Solution
A multi-part internet-based fitness test system that includes measuring weight and performing push, pull, core, and cardio exercises, with results compared to a database of similar individuals to determine relative fitness, allowing for self-administration and self-reporting without the need for professional supervision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fitness testing is done under professional supervision to ensure accuracy, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The fitness testing system enables individuals to autonomously perform and report their own fitness tests through a mobile device application. The system includes self-administered exercise protocols, automatic result calculation, and automated comparison with normative data, eliminating the need for professional supervisors while maintaining measurement accuracy through standardized procedures built into the application.
Solution Approach 2:
The system replaces the mechanical need for professional observers and physical testing equipment with a software-based mobile application that guides users through exercises, automatically tracks performance metrics, and computes results. The application uses the device's built-in sensors and camera for verification, substituting complex physical monitoring systems with digital automation.
2Measurement precision
If expensive equipment is used for respiratory gas measurement, then measurement precision is improved, but loss of substance and cost increase
Solution Approach 1:
The system replaces expensive, durable respiratory gas analysis equipment with a mobile device application that uses the device's existing camera and processing capabilities. The application captures images of exercise performance and calculates fitness metrics through image analysis and standardized algorithms, eliminating the need for costly specialized equipment while providing comparable fitness assessment.
Solution Approach 2:
The system creates a digital copy of the fitness assessment process that occurs within the mobile application rather than requiring physical respiratory gas analysis equipment. The application captures visual data during exercise and processes it through algorithms that replicate the functionality of expensive laboratory equipment, making fitness testing accessible without substantial equipment investment.
3Reliability
If trained personnel are required to observe and verify tests, then reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The mobile application provides real-time feedback during exercise execution, guiding users through proper form and intensity. The system automatically captures performance data, validates results against expected ranges, and provides immediate feedback on completion. This automated feedback loop replaces the verification function of trained personnel while enabling users to independently complete and validate their own tests at home.
Solution Approach 2:
The mobile application acts as an intermediary between the user and the fitness assessment process. It guides users through exercises, automatically monitors performance, validates results, and compares outcomes with normative data. This digital intermediary performs the verification function previously requiring human professionals, making reliable fitness testing accessible without trained observers.
4Measurement precision
If detailed individual fitness data is collected for accurate assessment, then measurement precision is improved, but loss of information increases due to privacy concerns
Solution Approach 1:
The system extracts only the essential fitness assessment data needed for evaluation while excluding personally identifiable information. The application collects exercise performance metrics, calculates fitness levels, and provides feedback based on anonymized or aggregated data. This approach maintains measurement precision for fitness assessment while minimizing privacy concerns by removing unnecessary personal information from the data collection process.
Data Source
AI summary
The present invention relates to a physical fitness test which is easy to do, easy to monitor and is easily self correcting. It involves taking a push, pull, core, and cardio test that is easy to do but can be measured for like age and gender individuals.