Personalized Gait Training Patterns for Natural Joint Alignment
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Solution Overview
Problem
Existing gait training apparatuses generate uniform training patterns that do not consider individual joint intervals and variations, leading to unnatural movements and discomfort for the trainee.
Innovation Solution
A method and apparatus that acquire lower body information, such as joint distances and ankle height, to generate customized gait training patterns by adjusting joint angles and stride based on individual conditions, using a standard gait pattern table and correcting for ground inclination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a uniform gait training pattern is used for all trainees, then the training process is simple and quick to implement, but the joint movements become unnatural and cause discomfort to the trainee
Solution Approach 1:
The patent applies local quality by customizing the gait training pattern to match each trainee's specific joint intervals and anatomical characteristics. Instead of using a uniform pattern for all trainees, the system adjusts joint angles, stride lengths, and movement trajectories based on individual measurements of hip-knee, knee-ankle distances and ankle heights, ensuring that each local segment of the trainee's body receives appropriately tailored training parameters that match their unique anatomy.
2Object-affected harmful factors
If a customized gait training pattern is generated based on individual joint measurements, then the joint movements become natural and comfortable for the trainee, but the training system becomes more complex and requires additional measurement and calculation processes
Solution Approach 1:
The patent applies preliminary action by pre-establishing a standard gait pattern table that contains reference data for various joint configurations. Before actual training begins, the system performs preliminary measurements of the trainee's joint intervals and uses these measurements to select or generate an appropriate customized pattern from the pre-prepared table. This preliminary preparation work is done once before training sessions, avoiding the need for complex real-time calculations during the actual training process.
Solution Approach 2:
The patent applies copying by using a standard gait pattern table that stores pre-measured and validated gait patterns from reference subjects. The customized training pattern for an individual trainee is generated by copying and adapting these standard patterns, adjusting them based on the trainee's specific joint measurements. This approach allows the system to leverage established, proven gait patterns rather than creating entirely new patterns from scratch, reducing the complexity of the generation process.
3Loss of time
If the gait training pattern does not consider individual joint intervals, then the training setup is quick and simple, but the training effectiveness decreases due to unnatural joint movements
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting key gait training parameters including joint angles, stride lengths, and movement velocities based on the trainee's measured joint intervals. The system modifies parameters such as hip angle, knee angle, and ankle angle to match the individual's anatomical characteristics, ensuring that the training pattern reliably produces natural and effective joint movements specific to each trainee's body proportions.
Data Source
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AI summary
The present invention relates to: a gait training pattern generation method for generating a gait training pattern optimized for a gait trainee; and a gait training apparatus. The gait training pattern generation method may comprise the steps of: obtaining information about the lower body of a gait trainee; setting gait training conditions for the gait trainee; and generating a gait training pattern according to the information about the lower body of the gait trainee and the gait training conditions.