A Two-Stream Approach to Fall Detection With MobileVGG

A Two-Stream Approach to Fall Detection With MobileVGG

The existing deep learning methods for human fall detection have difficulties to distinguish falls from similar daily activities such as lying down because of not using the 3D network. Meanwhile, they are not suitable for mobile devices because they are heavyweight methods and consume a large number...

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Bibliographic Details
Main Authors: Qing Han, Haoyu Zhao, Weidong Min, Hao Cui, Xiang Zhou, Ke Zuo, Ruikang Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
fall detection
motion characteristics
the two-stream model
the MobileVGG
Online Access:https://ieeexplore.ieee.org/document/8957693/

Internet

https://ieeexplore.ieee.org/document/8957693/

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