Results 11 to 20 of about 11,090,884 (273)
Multimodal Database for Human Activity Recognition and Fall Detection [PDF]
Proceedings, 2018 Fall detection can improve the security and safety of older people and alert when fall occurs. Fall detection systems are mainly based on wearable sensors, ambient sensors, and vision. Each method has commonly known advantages and limitations. Multimodal
Lourdes Martínez-Villaseñor +2 more
doaj +4 more sources
Human Fall Detection- Multimodality Approach
CoRR, 2023 Falls have become more frequent in recent years, which has been harmful for senior citizens.Therefore detecting falls have become important and several data sets and machine learning model have been introduced related to fall detection. In this project report, a human fall detection method is proposed using a multi modality approach.
Xi Wang +3 more
openaire +4 more sources
Development of a User-Adaptable Human Fall Detection Based on Fall Risk Levels Using Depth Sensor [PDF]
Sensors, 2018 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,
Yoosuf Nizam +2 more
doaj +2 more sources
Fall Detection using Human Skeleton Features [PDF]
IET Conference Proceedings, 2021 Falls is one of the leading causes of death and serious injury in people, especially the elderly. In addition, the falls accidents have a direct financial cost for health systems and, indirectly, for the productivity of society. Among the most important problems in fall detection systems is privacy, limitations of operating devices, and the comparison ...
Ramirez, Heilym +5 more
openaire +4 more sources
IEEE Access, 2018 Falls are one of the greatest risks for older adults living alone at home. This paper presents a novel visual-based fall detection approach to support independent living for older adults through analysing the motion and shape of the human body.
Ahmad Lotfi +4 more
doaj +3 more sources
Fall detection via human posture representation and support vector machine
International Journal of Distributed Sensor Networks, 2017 Accidental falls of elderly people are a major cause of fatal injuries, especially for those living alone. We present a novel vision–based fall detection approach that analyzes an extracted human body using described human postures.
Kaibo Fan +3 more
doaj +2 more sources
A Study of Fall Detection: Review and Implementation [PDF]
, 2011 This thesis presents a research study on Fall detection with a comprehensive survey on available related literature and an evaluation experiment. Fall detection is a major challenge in the public health care domain, especially for the elderly, and ...
Mubashir, Muhammad
core +6 more sources
A study on detection of risk factors of a toddler’s fall injuries using visual dynamic motion cues [PDF]
, 2009 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The research in this thesis is intended to aid caregivers’ supervision of toddlers to prevent accidental injuries, especially injuries due to falls in the ...
Na, Hana
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Human Fall Detection Method Based on SE-CNN [PDF]
Jisuanji gongcheng, 2022 Population aging is a problem that cannot be ignored in today's social development.When a large part of the elderly live alone without someone taking care of them, the failure to receive timely assistance after a fall has become one reason that threatens
YANG Zhiyong, WANG Junjie, JIN Lei
doaj +1 more source
Human Fall Detection Using Machine Learning Methods: A Survey [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 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.
Komal Singh +2 more
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