Training Equipment Settings for Targeted Muscle Load Personalization
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Solution Overview
Problem
Existing exercise equipment, such as pedal exercisers, lack the ability to effectively tailor training to individual user needs by adjusting load levels and muscle engagement based on user-specific data.
Innovation Solution
A processing system and method that acquires user data and muscle site data to calculate and output recommended settings for training equipment, allowing for personalized muscle training by simulating load placement on specific muscle sites, including deep muscles, and determining if the equipment is operating with the recommended settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If exercise equipment provides fixed training parameters, then device complexity is reduced, but adaptability to individual user needs deteriorates
Solution Approach 1:
The patent replaces complex mechanical adjustment systems with a processor-based system that calculates recommended settings. The processor acquires user data, performs calculations based on muscle site data, and outputs recommended training parameters, substituting mechanical complexity with computational simplicity.
Solution Approach 2:
The system enables users to independently determine appropriate training parameters through automated processing. By acquiring user data and automatically calculating recommended settings, the system allows users to self-adjust training parameters without requiring expert knowledge or complex manual adjustments.
2Productivity
If exercise equipment uses generic training settings, then ease of operation is improved, but training effectiveness deteriorates
Solution Approach 1:
The system dynamically changes training parameters based on user-specific data. The processor calculates recommended settings that adapt parameters such as load, repetitions, and exercise selection according to individual user characteristics, muscle site data, and training goals, thereby optimizing training effectiveness while maintaining operational simplicity.
Solution Approach 2:
The system performs preliminary calculations of recommended training settings before the actual exercise session. By pre-calculating optimal parameters based on user data and muscle site information, the system prepares personalized training programs in advance, making the exercise session itself simpler and more effective.
3Adaptability or versatility
If exercise equipment lacks user-specific data processing, then device complexity is reduced, but ability to tailor training deteriorates
Solution Approach 1:
The patent employs a processor-based system that substitutes complex mechanical or manual methods for tailoring training. The processor automatically acquires user data, processes muscle site information, calculates recommended settings, and outputs personalized training parameters, achieving high adaptability through computational rather than mechanical means.
Solution Approach 2:
The processor acts as an intermediary between user data and training equipment settings. It receives raw user data and muscle site information, performs necessary calculations, and translates this information into actionable recommended settings that the exercise equipment can implement, bridging the gap between data and practical application.
Data Source
AI summary
A processing system includes a processor. The processor is configured to: acquire user data including physical information of a user; acquire muscle site data on a muscle site desired to be built and an amount of load to be placed on the muscle site; calculate a recommended setting of training equipment that places the load to a muscle of the user, based on the user data and the muscle site data; and output the recommended setting.