Human Fall Detection Using Machine Learning Methods: A Survey

Human fall due to an accident can cause heavy injuries which may lead to a major medical issue for elderly people. With the introduction of new advanced technologies in the healthcare sector, an alarm system can be developed to detect a human fall. This paper summarizes various human fall detection...
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Autor*in:	Komal Singh [verfasserIn] Akshay Rajput [verfasserIn] Sachin Sharma [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	hidden markov model gaussian distribution multilayer perceptron fuzzy rule deep learning.

Übergeordnetes Werk:	In: International Journal of Mathematical, Engineering and Management Sciences - Ram Arti Publishers, 2019, 5(2020), 1, Seite 161-180
Übergeordnetes Werk:	volume:5 ; year:2020 ; number:1 ; pages:161-180

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.33889/IJMEMS.2020.5.1.014

Katalog-ID:	DOAJ048910007

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source	In International Journal of Mathematical, Engineering and Management Sciences 5(2020), 1, Seite 161-180 volume:5 year:2020 number:1 pages:161-180
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title_sort	human fall detection using machine learning methods: a survey
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title_auth	Human Fall Detection Using Machine Learning Methods: A Survey
abstract	Human fall due to an accident can cause heavy injuries which may lead to a major medical issue for elderly people. With the introduction of new advanced technologies in the healthcare sector, an alarm system can be developed to detect a human fall. This paper summarizes various human fall detection methods and techniques, through observing people’s daily routine activities. A human fall detection system can be designed using one of these technologies: wearable based device, context-aware based and vision based methods. In this paper, we discuss different machine learning models designed to detect human fall using these techniques. These models have already been designed to discriminate fall from activities of daily living (ADL) like walking, moving, sitting, standing, lying and bending. This paper is aimed at analyzing the effectiveness of these machine learning algorithms for the detection of human fall.
abstractGer	Human fall due to an accident can cause heavy injuries which may lead to a major medical issue for elderly people. With the introduction of new advanced technologies in the healthcare sector, an alarm system can be developed to detect a human fall. This paper summarizes various human fall detection methods and techniques, through observing people’s daily routine activities. A human fall detection system can be designed using one of these technologies: wearable based device, context-aware based and vision based methods. In this paper, we discuss different machine learning models designed to detect human fall using these techniques. These models have already been designed to discriminate fall from activities of daily living (ADL) like walking, moving, sitting, standing, lying and bending. This paper is aimed at analyzing the effectiveness of these machine learning algorithms for the detection of human fall.
abstract_unstemmed	Human fall due to an accident can cause heavy injuries which may lead to a major medical issue for elderly people. With the introduction of new advanced technologies in the healthcare sector, an alarm system can be developed to detect a human fall. This paper summarizes various human fall detection methods and techniques, through observing people’s daily routine activities. A human fall detection system can be designed using one of these technologies: wearable based device, context-aware based and vision based methods. In this paper, we discuss different machine learning models designed to detect human fall using these techniques. These models have already been designed to discriminate fall from activities of daily living (ADL) like walking, moving, sitting, standing, lying and bending. This paper is aimed at analyzing the effectiveness of these machine learning algorithms for the detection of human fall.
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title_short	Human Fall Detection Using Machine Learning Methods: A Survey
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