Footwear Sensor Monitoring for Personalized Athletic Feedback
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Solution Overview
Problem
Existing athletic performance monitoring systems lack intuitive and personalized engagement with users, often failing to provide timely and actionable insights that enhance usability and training efficacy.
Innovation Solution
A computer-implemented method utilizing sensor modules in footwear to capture biomechanical data, processed by AI and a generative language model, providing real-time and personalized athletic performance insights and recommendations through a user-friendly interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional data analysis tools are used to process athletic performance data, then basic performance tracking is achieved, but the system fails to provide intuitive and personalized engagement with users
Solution Approach 1:
The patent introduces an AI language model as an intermediary between the biomechanical data and the user. This intermediary translates complex sensor data into natural language feedback that is intuitive and personalized, resolving the contradiction by maintaining data fidelity while improving user engagement through conversational interfaces
Solution Approach 2:
The patent replaces conventional mechanical data analysis tools with AI-based language models. This substitution transforms rigid, predefined analysis into flexible, adaptive conversations that provide personalized engagement without losing information, as the AI can dynamically adjust responses based on user needs
2Ease of operation
If advanced AI processing is implemented to provide personalized insights, then user engagement improves, but system complexity increases
Solution Approach 1:
The AI language model serves as an intermediary layer that handles the complexity of personalized analysis internally while presenting simple, natural language responses to users. This resolves the contradiction by shielding users from system complexity while maintaining personalized guidance capabilities
Solution Approach 2:
The system employs self-service mechanisms where the AI language model autonomously processes biomechanical data and generates personalized insights without requiring complex user configuration. This reduces operational complexity while maintaining personalized guidance, as the AI adapts to user needs automatically
3Productivity
If real-time feedback is provided during athletic activities, then training efficacy increases, but data processing time requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-loading and initializing the AI language model before athletic activities begin. This allows the model to be ready for real-time processing, reducing actual processing time during activities while maintaining training efficacy through immediate feedback capability
Solution Approach 2:
The patent implements periodic action by providing feedback at strategically timed intervals during athletic activities rather than continuously. This maintains training efficacy through regular reinforcement while managing processing time by batching analyses at optimal moments rather than requiring constant real-time processing
Data Source
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AI summary
According to a first aspect of the present invention, it may be provided a computer-implemented athletic performance monitoring method. The method may comprise receiving input data including biomechanical measurement data captured by a sensor module of an article of footwear worn by a user engaged in an athletic activity. Furthermore, the method may include processing, preferably automatically processing, the input data using artificial intelligence to generate athletic performance information. This processing may involve generating a prompt for a generative language model based at least in part on the input data, prompting the generative language model using the prompt to obtain a reply, and generating the athletic performance information based at least in part on the reply from the generative language model. Additionally, the method may comprise causing displaying the athletic performance information to the user on a display screen of an electronic device of the user.