AI-Controlled Multi-Directional Resistance for Safer Strength Training
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Solution Overview
Problem
Traditional strength training methods often lead to injuries due to the use of heavy weights and repetitive motions, lacking effective muscle activation without excessive stress on joints and connective tissues, and require multiple exercises to achieve desired muscle development.
Innovation Solution
An exercise machine with a multiple directional force component and AI control, applying divergent intensity through variable weights, cables, and resistance bands, coupled with real-time performance feedback and virtual training, to enhance muscle activation and reduce injury risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Strength
If heavy weights are used in traditional strength training, then muscle strength and development are improved, but injury risk to connective tissue and joints increases
Solution Approach 1:
The training program is segmented into multiple exercises targeting the same muscle group from different angles and directions. Instead of repeatedly increasing weight on a single exercise, the system divides the training into various movements (e.g., bicep curls, hammer curls, preacher curls) that collectively stimulate the muscle group, allowing strength development without excessive stress on any single joint or connective tissue area.
Solution Approach 2:
The invention introduces multi-directional training by adding angular and rotational dimensions to exercise movements. Rather than linear repetition of single-direction exercises, the system incorporates exercises with varying angles and planes of motion, providing comprehensive muscle stimulation while distributing mechanical stress across different tissue structures, thereby reducing injury risk.
2Strength
If multiple exercises are used to target muscle groups, then muscle activation is improved, but device complexity and time requirements increase
Solution Approach 1:
The training system is designed as a universal program that can be applied to any muscle group through standardized multi-directional exercise templates. Each muscle group has a set of exercises that work together to provide comprehensive stimulation, allowing the same training methodology to be universally applied across different muscle groups without requiring entirely separate programs for each.
Solution Approach 2:
The system optimizes training by changing key parameters such as the number of exercises per muscle group, the angular variation of movements, and the weight increment steps. By carefully selecting and adjusting these parameters, the program achieves effective muscle activation while keeping the total number of exercises manageable and the equipment requirements reasonable.
3Productivity
If weight increments are increased to accelerate muscle growth, then training efficiency is improved, but injury risk increases
Solution Approach 1:
The training program applies partial action by using smaller, more frequent weight increments across multiple exercises rather than large increments on single exercises. This approach provides sufficient stimulus for muscle growth while maintaining safer loading patterns that reduce the risk of connective tissue injury and joint damage.
Data Source
AI summary
Disclosed are example embodiments of systems and methods for exercise including an exercise machine including a multiple directional force component configured to apply a multiple directional force to an exercise machine-human body interface, the multiple directional force component further configured to provide a divergent intensity to the exercise machine-human body interface to provide the human body with a resistance during a physical exercise and an artificial intelligence (AI) component configured to control the multiple directional force component. In an example, the AI component may control the multiple directional force component based on morphological characteristics and variability of running speed parameters including at least one of stride length, stride frequency, explosive drive force, and arm drive.