Detection of Human Fall Using Floor Vibration and Multi-Features Semi-Supervised SVM

Detection of Human Fall Using Floor Vibration and Multi-Features Semi-Supervised SVM

Human falls are the premier cause of fatal and nonfatal injuries among older adults. The health outcome of a fall event is largely dependent on rapid response and rescue of the fallen elder. Being able to provide an accurate and fast fall detection will dramatically improve the health outcomes of th...

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Bibliographic Details
Main Authors: Chengyin Liu, Zhaoshuo Jiang, Xiangxiang Su, Samuel Benzoni, Alec Maxwell
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sensors
Subjects:
falling detection
fall loading model
floor vibration
multi-features semi-supervised support vector machines
benchmark problem
Online Access:https://www.mdpi.com/1424-8220/19/17/3720

Internet

https://www.mdpi.com/1424-8220/19/17/3720

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