SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments

SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments

Abstract Falling is an emergency situation that can result in serious injury or even death, especially in the absence of immediate assistance. Therefore, developing a model that can accurately and promptly detect falls is crucial for enhancing quality of life and safety. In the field of object detec...

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Bibliographic Details
Main Authors: Xiangqian Huang, Xiaoming Li, Limengzi Yuan, Zhao Jiang, Hongwei Jin, Wanghao Wu, Ru Cai, Meilian Zheng, Hongpeng Bai
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Fall detection
Multi-scale feature extraction pyramid
Occlusion-aware attention mechanism
Edge and spatial information fusion module
WIoU-Shape loss function
YOLO
Online Access:https://doi.org/10.1038/s41598-025-86593-9
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https://doi.org/10.1038/s41598-025-86593-9

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