Integrated Training System Data Exchange Protocol
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Solution Overview
Problem
Current sports training systems lack integration across different equipment, leading to inefficient training and potential overexertion, as exercises on one device are not considered when using other devices, resulting in suboptimal overall performance evaluation and training effects.
Innovation Solution
A system where sports equipment with connected computers can exchange data, allowing settings and training programs to be adapted based on performance across multiple devices, including biometric data integration for personalized training, and providing warnings or emergency shutdowns if necessary to prevent overexertion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If exercises are carried out on different sports equipment independently without data integration, then each device can be operated autonomously and simply, but the overall training efficiency decreases and overexertion risk increases
Solution Approach 1:
The patent merges multiple independent sports devices into an integrated training system where all devices communicate through a common data network. Training data from different devices (treadmill, elliptical, stationary bike, etc.) are combined and processed together to provide comprehensive training evaluation and prevent overexertion, thereby improving overall training efficiency while maintaining individual device autonomy through modular architecture
Solution Approach 2:
The system implements a universal data exchange protocol and common processing unit that can handle data from various types of sports equipment. The integrated system provides multiple functions including real-time monitoring, historical analysis, training program coordination, and safety warnings, making the system adaptable to different device configurations without requiring complex custom integration for each device type
2Reliability
If training data from multiple devices is integrated and analyzed together, then overall training effect and safety are improved, but data exchange and processing complexity increases
Solution Approach 1:
The patent introduces a central processing unit or server as an intermediary that receives, standardizes, and processes training data from multiple devices. This intermediary layer handles data normalization, integration, and analysis, reducing the processing burden on individual devices and simplifying the overall system architecture while enabling comprehensive safety monitoring and coordinated training management
Solution Approach 2:
The system implements continuous feedback loops where training data from all devices is constantly monitored, analyzed, and used to adjust training programs in real-time. The feedback mechanism provides safety warnings when overexertion is detected and coordinates training intensity across different devices, improving reliability through automated monitoring while using algorithmic processing to manage data complexity efficiently
3Adaptability or versatility
If adaptive training programs are created based on performance across multiple devices, then personalized training effectiveness is enhanced, but calculation and program coordination complexity increases
Solution Approach 1:
The system implements dynamic training programs that automatically adjust based on real-time performance data from multiple devices. Training intensity, duration, and type are continuously adapted according to the user's current state and historical performance across different equipment, providing high personalization through algorithmic decision-making that reduces the need for manual program coordination
Solution Approach 2:
The system performs preliminary analysis of user performance data across all devices to pre-calculate optimal training programs before the user begins exercising. By anticipating training needs and pre-coordinating programs across multiple devices, the system reduces real-time coordination complexity while maintaining high adaptability to individual user characteristics and performance levels
Data Source
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AI summary
In the case of a training arrangement (1) with at least one first exercising apparatus (2) and one second exercising apparatus (3), wherein the first exercising apparatus (2) is connected to a first computer (4) for controlling and/or recording a training programme, and wherein the second exercising apparatus (3) is connected to a second computer (5) for controlling and/or recording a training programme, and wherein the first exercising apparatus (2) is designed differently from the second exercising apparatus (3), it is proposed, for efficient and health-promoting physical training, that the first computer (2) and the second computer (3) are designed for the exchange of data, in particular control, training and/or personal data, and are preferably connected by a data line (5).