@article{4646,
  author = {Yong Liu, Xiaojiao Shen},
  title = {Analysis of Plantar Pressure Based on Injury Recovery for Physical Fitness},
  journal = {Journal of Information & Systems Management},
  year = {2026},
  volume = {16},
  number = {1},
  doi = {https://doi.org/10.6025/jism/2026/16/1/1-10},
  url = {https://www.dline.info/jism/fulltext/v16n1/jismv16n1_1.pdf},
  abstract = {The study investigates how plantar pressure distribution during walking can inform injury prevention and
recovery strategies among footballers. Given soccer's high injury risk, the research emphasizes using modern
computer based pressure analysis to assess foot stress patterns unique to individual athletes. By integrating
this data into motion models, the study aims to offer personalized, evidence based recommendations to
reduce overtraining and enhance rehabilitation.
The methodology involved collecting gait data from football players and non athlete college students using
the RSCAN gait analysis system. The gait cycle was divided into four phases, with findings showing that
footballers spend significantly more time in the initial contact and full foot support phases 88% of the cycle
than students. This prolonged forefoot contact is associated with increased stress and an increased risk of
injury, particularly among players with prior ankle injuries, who exhibit reduced protective gait adaptations.
Results from real time data collection on 300 athletes demonstrate the model's efficiency in processing foot
pressure data quickly (under 2 seconds), validating its potential for practical use in training environments.
The study concludes that plantar pressure analysis is a reliable predictor of injury severity and a valuable
tool for tailoring recovery protocols. It underscores the need for large scale, ethnically representative datasets
to refine injury prevention strategies and to support the professional development of football in China.},
}