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October 15, 2025International Journal of Environmental Sciences

Design Of Smart Shoe System To Avoid Human Fall

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Authors

PDPrabhakar D. DorgeBSBharati B. SayankarPWPrerana Wankhede

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Overview

This innovative system utilizes machine learning for fall detection in elderly individuals, suggesting a promising solution to enhance safety.

Key Points

  • The system significantly decreases fall risks, as it provides timely alerts when cautious gait patterns are detected.
  • Utilizing a decision tree algorithm, the system effectively distinguishes between normal and cautious gait values.
  • Four pressure sensors and a Wi-Fi communication module enable real-time monitoring and notifications via messages or calls.
  • This technology helps elderly individuals live independently, ensuring greater safety and well-being.

Cite This Study

Dorge et al. (2025) studied this question.

synapsesocial.com/papers/68ef858cc6a308ba0635554fhttps://doi.org/10.64252/ss0yg192
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