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October 12, 2025Scientific ReportsOpen Access

A gait recognition architecture for early screening in the assessment of Parkinson’s patients

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Authors

HWHuan WangKYKehuan YanJCJing Cai

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Overview

This architecture enhances gait recognition accuracy in Parkinson's disease patients, indicating potential for efficient early screening.

Key Points

  • The proposed model improves the efficiency of gait recognition in assessing parkinson's disease, enhancing diagnostic capabilities.
  • Experimental results show the model outperforms existing methods, achieving better accuracy at specific viewpoints.
  • Using a hybrid architecture allows for irregular sampling and better feature capture, advancing gait recognition technology.
  • Transfer learning validates the model's effectiveness on our specific parkinson's disease patient gait dataset.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68ebc91af2c3e4d8d926e1adhttps://doi.org/10.1038/s41598-025-19224-y
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