AI Biomechanical Load Feedback for Real-Time Running Technique Adjustment
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Solution Overview
Problem
Current systems for improving running technique, such as those used in running, do not effectively allow runners to alter their style in real-time while performing the activity, especially in natural environments, as they lack the capability to measure instantaneous parameters and provide feedback on biomechanical load distribution.
Innovation Solution
A system comprising a target module, sensor arrangement, monitoring module, adjustment module, and instruction module that generates motion adjustment instructions based on monitored biomechanical load distribution data, allowing users to make conscious changes to their running technique to achieve a target biomechanical load distribution, which can be provided through wearable devices with real-time feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a coach observes and provides feedback on running technique, then running style can be improved, but real-time feedback during natural running activities cannot be provided
Solution Approach 1:
The system enables self-coaching by embedding sensors and processing capabilities within the runner's equipment (shoes, clothing), allowing the running technique assessment and feedback to be provided autonomously without requiring an external coach's continuous observation and intervention
Solution Approach 2:
The patent replaces the mechanical/visual observation system of a human coach with an electronic sensor-based measurement system that can automatically capture and analyze biomechanical parameters such as ground reaction forces, joint angles, and muscle activation patterns
2Measurement precision
If multiple sensors are used to measure biomechanical parameters, then measurement accuracy improves, but device complexity increases
Solution Approach 1:
The system employs multi-functional sensor nodes that can measure multiple biomechanical parameters (force, acceleration, orientation, temperature) simultaneously, reducing the overall number of separate sensing devices needed while maintaining comprehensive measurement capabilities
Solution Approach 2:
The patent implements a hierarchical sensor architecture where sensors are nested within shoe components, which are themselves nested within the runner's footwear system, allowing integrated data collection from multiple levels without adding external complexity
3Productivity
If real-time feedback is provided during running, then technique adjustment is enabled, but system portability and ease of use must be maintained
Solution Approach 1:
The system extracts only the essential feedback information (key biomechanical parameters and adjustment recommendations) from the comprehensive sensor data, presenting simplified guidance to the runner while maintaining full measurement capabilities in the background
Solution Approach 2:
The patent introduces a wireless communication intermediary that transmits data between sensors, processing units, and feedback delivery mechanisms, allowing the system components to remain physically separated and portable while maintaining real-time data flow
Data Source
AI summary
A system configured to generate a motion adjustment instruction for a user performing an action is provided. The system comprises: a target module configured to obtain a target biomechanical load distribution for the user, a sensor arrangement configured to monitor the motion of the user so as to obtain monitored motion data, a monitoring module configured to calculate a monitored biomechanical load distribution for the user in accordance with the monitored motion data, an adjustment module configured to calculate a target adjustment to the motion of the user that corresponds to a reduction of a deviation of the monitored biomechanical load distribution from the target biomechanical load distribution, and an instruction module configured to generate a motion adjustment instruction in accordance with the target adjustment.