The Effect of wearing non-face-to-face AI customized insoles on plantar pressure and walking

The This study included 33 male and female college students aged 20 or older located in Seoul. Those who had been diagnosed with musculoskeletal disorders in the past 6 months or had experience with musculoskeletal surgery were excluded from this study. Non-face-to-face AI Home training while wearing an insole made with customized artificial intelligence/11 people (9 men, 2 women), not exercising/11 people (6 men, 5 women), not wearing an insole/11 people (male) The subjects of the study were selected by dividing them into 3 groups (5 people, 6 women). The data from the research results were analyzed using the SPSS (Version 20.0) statistical program, and the general characteristics of the research subjects were analyzed using frequency analysis and descriptive statistics. The mean (M) and standard deviation (SD) of all variables were calculated. To determine the degree of improvement in weight distribution index and detection angle of the exercise program, the differences between before and after within each group were analyzed using a paired t-test. To identify the relationship between each variable, analysis was performed using Pearson