Results 21 to 30 of about 548,400 (251)
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 +3 more sources
Fall Detection and Activity Recognition Using Human Skeleton Features
IEEE Access, 2021 Human activity recognition has attracted the attention of researchers around the world. This is an interesting problem that can be addressed in different ways. Many approaches have been presented during the last years.
Heilym Ramirez +5 more
doaj +1 more source
Journal of Biomechanical Science and Engineering, 2016 Fall-related injuries are one of the most common injuries in daily life. Occasionally, particularly in children and the elderly, fall accidents can lead to fatal injuries.
Masato ITO +4 more
doaj +1 more source
Human Fall Detection Using Spatial Temporal Graph Convolutional Networks. [PDF]
IJCI International Journal of Computers and Information, 2023 Falls are a serious issue in society and have become a major topic in the healthcare domain. Because of the rapidly increasing number of elderly people, falling can cause serious consequences for the elderly, especially if the fallen person is unable to ...
Hadeer Abdo, Khalid Amin, Ahmed Hamad
doaj +1 more source
Fall Detection Based on Dual-Channel Feature Integration
IEEE Access, 2020 Falls have caught great harm to the elderly living alone at home. This paper presents a novel visual-based fall detection approach by Dual-Channel Feature Integration.
Bo-Hua Wang +4 more
doaj +1 more source
Research on Human Fall Detection Based on Threshold and PSO-SVM [PDF]
Jisuanji gongcheng, 2016 To improve the accuracy in human fall detection,a fall detection algorithm based on acceleration sensor in a smart phone is proposed.The acceleration information of human movement is collected by a smart phone,and a mixed method is utilized by combining ...
SUN Xiaowen,SUN Ziwen,QIN Fang
doaj +1 more source
Falling motion detection algorithm based on deep learning
IET Image Processing, 2022 Falling is a significant cause of injuries and even death in the elderly. The timely detection of the fall action helps to rescue people who may have physical health problems due to the fall, so fall detection is necessary. The traditional fall detection
Na Zhu +3 more
doaj +1 more source
Medieval Philosophy & Theology, 2000 I. INTRODUCTION: THE PROBLEM Akrasia (or, weakness of the will), often defined as “the moral state of agents who act against their better judgment”—a definition first given by Aristotle in the Nicomachean Ethics, depicts one of the most human of predicaments.
openaire +1 more source
The Rise and Fall of Human Dignity
SSRN Electronic Journal, 2020 Human dignity has a long history in philosophy, theology, politics and jurisprudence. Broadly speaking, there are important distinctions to be drawn between classical, patristic, medieval, reformed, liberal and postmodern approaches to the concept. In the development of ideas about human dignity, three key questions have emerged.
openaire +3 more sources
Automatic Detection of Human Fall in Video [PDF]
, 2007 In this paper, we present an approach for human fall detection, which has important applications in the field of safety and security. The proposed approach consists of two parts: object detection and the use of a fall model. We use an adaptive background subtraction method to detect a moving object and mark it with its minimum-bounding box.
Vinay Vishwakarma +2 more
openaire +1 more source