Zobrazeno 1 - 10
of 6 396
pro vyhledávání: '"fall detection"'
Publikováno v:
Vietnam Journal of Computer Science, Vol 11, Iss 03, Pp 363-376 (2024)
Many fall detection systems are being used to provide real-time responses to fall occurrences. Automated fall detection is challenging because it requires very high accuracy to be clinically acceptable. Recent research has tried to improve sensitivit
Externí odkaz:
https://doaj.org/article/de5b47d3f7f8412aa2584b4a556ad2d5
Publikováno v:
Ilkom Jurnal Ilmiah, Vol 16, Iss 1, Pp 1-11 (2024)
The aged population in Indonesia in 2021 is 30. Sixteen million people. The aged populace elderly 60 years and over reached 11.01% of the complete populace of Indonesia, which amounted to 273.88 million humans. There are ages who live on their own be
Externí odkaz:
https://doaj.org/article/d7265e3dac12462baa9c46ef94c471f4
Autor:
Eatedal Alabdulkreem, Mesfer Alduhayyem, Mohammed Abdullah Al-Hagery, Abdelwahed Motwakel, Manar Ahmed Hamza, Radwa Marzouk
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 15486-15504 (2024)
Fall detection (FD) for disabled persons in the Internet of Things (IoT) platform contains a combination of sensor technologies and data analytics for automatically identifying and responding to samples of falls. In this regard, IoT devices like wear
Externí odkaz:
https://doaj.org/article/0c78c4c9a4f44c97ac0fd417f00f48e5
Autor:
Khulud K. Alharbi, Sajid H. Alvi, Bakhtiar Ali, Jawad Mirza, Muhammad Awais Javed, Hatem A. Alharbi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Robust wireless communication using relaying system and Non-Orthogonal Multiple Access (NOMA) will be extensively used for future IoT applications. In this paper, we consider a fall detection IoT application in which elderly patients are equ
Externí odkaz:
https://doaj.org/article/0a3a1c93c8e741c79fd879f1fac73aaf
Autor:
Nadhira Noor, In Kyu Park
Publikováno v:
IEEE Access, Vol 12, Pp 112852-112863 (2024)
We present a novel approach for skeleton-based action recognition and fall detection, optimized for real-time performance on embedded devices. Our method employs a factorized 3D convolutional neural network (3D-CNN) to efficiently extract spatiotempo
Externí odkaz:
https://doaj.org/article/93c540ec530c47c598d90399e170ae8c
Autor:
Vassilis Alimisis, Dimitrios G. Arnaoutoglou, Emmanouil Anastasios Serlis, Argyro Kamperi, Konstantinos Metaxas, George A. Kyriacou, Paul P. Sotiriadis
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 224-242 (2024)
A fall-detection system was implemented utilizing a 2.45 GHz continuous wave radar along with power-efficient and fully-analog integrated classifier architectures. The Power Burst Curve and the effective acceleration were derived from the short time
Externí odkaz:
https://doaj.org/article/f0fcf29ab16f4a3b98e9e395031bfb76
Publikováno v:
IEEE Access, Vol 12, Pp 72051-72061 (2024)
Every year, over 30% of individuals aged 65 and above experience fall, leading to potential physical and psychological harm. This is particularly concerning for those who live independently and lack immediate assistance. To address this issue, numero
Externí odkaz:
https://doaj.org/article/bc037704f8b1457a9b47d696f160e000
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1233-1245 (2024)
Falls represent a significant cause of injury among the elderly population. Extensive research has been devoted to the utilization of wearable IMU sensors in conjunction with machine learning techniques for fall detection. To address the challenge of
Externí odkaz:
https://doaj.org/article/92d6e4ceb5234a4695a48566ac0a0d3f
Autor:
Jesus Gutierrez, Sergio Martin, Victor H. Rodriguez, Sergio Albiol, Inmaculada Plaza, Carlos Medrano, Javier Martinez
Publikováno v:
IEEE Access, Vol 12, Pp 41659-41675 (2024)
In an increasingly aging world, the effort to automate tasks associated with the care of elderly dependent individuals becomes more and more relevant if quality care provision at sustainable costs is desired. One of the tasks susceptible to automatio
Externí odkaz:
https://doaj.org/article/5d38fe1b8c7e44398c51300b8320dbb4
Autor:
Hazilah Mad Kaidi, Mohd Azri Mohd Izhar, Rudzidatul Akmam Dziyauddin, Nur Ezzati Shaiful, Robiah Ahmad
Publikováno v:
IEEE Access, Vol 12, Pp 35008-35032 (2024)
Healthcare monitoring systems in hospitals and other health facilities have grown significantly, and portable healthcare monitoring systems using emerging technologies such as Internet of Things (IoT) technologies have aided the advancement of health
Externí odkaz:
https://doaj.org/article/b87f1905bc824e6b9f8602fe16136df9