Multi Visual Modality Fall Detection Dataset

Multi Visual Modality Fall Detection Dataset

Falls are one of the leading causes of injury-related deaths among the elderly worldwide. Effective detection of falls can reduce the risk of complications and injuries. Fall detection can be performed using wearable devices or ambient sensors; these methods may struggle with user compliance issues...

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Bibliographic Details
Main Authors: Stefan Denkovski, Shehroz S. Khan, Brandon Malamis, Sae Young Moon, Bing Ye, Alex Mihailidis
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Fall detection
multi-modal
autoencoder
anomaly detection
deep learning
computer vision
Online Access:https://ieeexplore.ieee.org/document/9910156/

Internet

https://ieeexplore.ieee.org/document/9910156/

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