Adaptive Athletic Training Plans With Sensor Feedback
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Solution Overview
Problem
Individuals face challenges in maintaining regular exercise programs due to lack of motivation and rigid training plans that do not adapt to their specific requirements and abilities, leading to difficulty in achieving athletic goals.
Innovation Solution
A personal training system that adapts athletic activity prescriptions based on user performance data, using sensors to collect and analyze historical and demographic data, and generates a coaching plan that tailors workouts to user-specific goals and schedules, incorporating adaptive training impulse distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If rigid training plans are used, then training structure is maintained, but adaptability to user-specific requirements deteriorates
Solution Approach 1:
The training plan transitions from a static, pre-defined structure to a dynamic system that automatically adjusts workout parameters based on real-time user performance data, sensor feedback, and progress tracking, allowing the plan to evolve and adapt to individual user needs while maintaining overall training goals
Solution Approach 2:
The system implements continuous feedback loops where user performance data from sensors and tracking devices is collected, analyzed, and used to automatically adjust future training prescriptions, creating a closed-loop system that adapts the training plan based on actual user response and progress
2Ease of operation
If generic training plans are used, then ease of implementation is improved, but effectiveness for specific athletic goals deteriorates
Solution Approach 1:
The training plan transitions from a uniform, one-size-fits-all approach to a personalized program where workout parameters, intensity, and progression are specifically tailored to each user's athletic goals, fitness level, and performance characteristics while maintaining overall system simplicity through automated customization
3Adaptability or versatility
If frequent adjustments to training plans are made, then adaptability to user progress is improved, but system complexity deteriorates
Solution Approach 1:
The training plan adjustment system operates autonomously using automated algorithms that analyze user performance data and generate appropriate plan modifications without requiring manual intervention from coaches or users, reducing operational complexity while enabling frequent adaptive adjustments based on real-time feedback
Data Source
AI summary
Systems and methods for prescribing athletic activity to be performed by a user, and for adapting the prescribed athletic activity based on completed (e.g. ongoing) athletic performances by the user. A coaching plan may be automatically created that prescribes personalized athletic activities as a user trains towards a goal date. The athletic information may be received from one or more sensor devices associated with a user, and the coaching plan may be continuously or intermittently updated based on the received sensor data.