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SangHyeok Kim

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Open access Jul 2026

A Data-Driven Real-Time Fall-from-Height Detection Method for On-Device Worker Safety Wearables

This paper proposes a data-driven FFH detection method that integrates multiple complementary features into a unified score-based model, achieving a practical balance between detection sensitivity, false-positive suppression, computational efficiency, and real-time feasibility.

SangHyeok Kim, Daejin Park, Soon Ju Kang · 0 citations