Development of a user-adaptable human fall detection based on fall risk levels using depth sensor

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Development of a user-adaptable human fall detection based on fall risk levels using depth sensor

Unintentional falls are a major public health concern for many communities, especially with aging populations. There are various approaches used to classify human activities for fall detection. Related studies have employed wearable, non-invasive sensors, video cameras and depth sensor-based approac...

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Bibliographic Details
Main Authors:	Nizam, Yoosuf, Haji Mohd, Mohd Norzali, Abdul Jamil, M. Mahadi
Format:	Article
Language:	English
Published:	MDPI 2018
Subjects:	TA164 Bioengineering TA166-167 Human engineering
Online Access:	http://eprints.uthm.edu.my/2878/ http://eprints.uthm.edu.my/2878/1/AJ%202019%20%2854%29.pdf

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