Vision-Based Fall Risk Assessment Through Attention Augmented Neural Encoding and Data Augmentation

Vision-Based Fall Risk Assessment Through Attention Augmented Neural Encoding and Data Augmentation

Falls among elderly individuals and other at-risk populations represent a significant public health concern, underscoring the need for proactive and accessible fall risk assessment methods. Although prior systems using wearable sensors or depth cameras have demonstrated potential, their widespread a...

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Bibliographic Details
Main Authors: Chunhua Pan, Rui Miao, Qing Zhang, Boting Qu, Xin Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Fall risk assessment
five sit-to-stand test
elderly care
deep neural encoder
graph neural network
Online Access:https://ieeexplore.ieee.org/document/11121161/
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