Enhancing Slip, Trip, and Fall Prevention: Real-World Near-Fall Detection with Advanced Machine Learning Technique

Enhancing Slip, Trip, and Fall Prevention: Real-World Near-Fall Detection with Advanced Machine Learning Technique

Slips, trips, and falls (STFs) are a major occupational hazard that contributes significantly to workplace injuries and the associated financial costs. The application of traditional fall detection techniques in the real world is limited because they are usually based on simulated falls. By using ki...

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Bibliografische gegevens
Hoofdauteurs: Moritz Schneider, Kevin Seeser-Reich, Armin Fiedler, Udo Frese
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2025-02-01
Reeks:Sensors
Onderwerpen:
slip
trip
fall
near fall
machine learning
prevention
Online toegang:https://www.mdpi.com/1424-8220/25/5/1468

Internet

https://www.mdpi.com/1424-8220/25/5/1468

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