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: Yoosuf Nizam, Mohd Norzali Haji Mohd, M. Mahadi Abdul Jamil
Format: Article
Published: MDPI AG 2018-07-01
Online Access: