Technical Analysis of Fall Detection Techniques

Muhammad Ali Baba Khel, Mumtaz Ali
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引用次数: 6

Abstract

Fall has become the most imminent public health problem in the world. Each year thousands of people over age 65 experience falls. Because of that a large number of elderly people gets injured. Even some of them die if not rescued on time. With such immense increase in the falls that harms the individuals physically and/or mentally Researchers found ways to tackle the problem by devising different techniques for the purpose of fall detection. Most of techniques being used rely on Threshold based algorithms (TBA). While some of them brought the Machine Learning (ML) into the field to fight detect falls. The use of TBA and ML combinedly for fall detection has been reported. But still every technique has its advantages and disadvantages. We are doing analysis of techniques that are totally based on either TBA’s, ML or the combination of both TBA and ML
跌落检测技术分析
秋天已经成为世界上最紧迫的公共卫生问题。每年都有数千名65岁以上的老人摔倒。因此,大量的老年人受伤。如果不及时获救,他们中的一些人甚至会死亡。随着摔倒事故的大量增加,对个人身体和/或精神造成了伤害,研究人员通过设计不同的摔倒检测技术找到了解决这个问题的方法。大多数使用的技术依赖于基于阈值的算法(TBA)。而他们中的一些人将机器学习(ML)带入了该领域,以对抗检测跌倒。TBA和ML联合用于跌倒检测已有报道。但是每种技术都有它的优点和缺点。我们正在对完全基于TBA、ML或TBA和ML结合的技术进行分析
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