Analysis of Near-Fall Detection Method Utilizing Dynamic Motion Images and Transfer Learning

This study explores a model for detecting fall, non-fall and near-fall events as frequent experiences of near-falls are closely associated with a heightened risk of falls. Detecting near-falls can lead to more accurate predictions of falls. However, near-falls exhibit certain movement patterns simil...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Jung-Yeon Kim, Nab Mat, Chomyong Kim, Awais Khan, Hyo-Wook Gil, Jiwon Lyu, Euyhyun Chung, Kwang Seock Kim, Seob Jeon, Yunyoung Nam
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Near-fall detection CNN dynamic image rank pooling fusion transfer learning
Online Access:	https://ieeexplore.ieee.org/document/10876144/