Results 51 to 60 of about 1,144,100 (291)
Frontiers in Aging Neuroscience, 2021 Research on pre-impact fall detection with wearable inertial sensors (detecting fall accidents prior to body-ground impacts) has grown rapidly in the past decade due to its great potential for developing an on-demand fall-related injury prevention system.
Xiaoqun Yu, Jaehyuk Jang, Shuping Xiong
doaj +1 more source
Online Fall Detection Using Wrist Devices
Sensors, 2023 More than 37 million falls that require medical attention occur every year, mainly affecting the elderly. Besides the natural consequences of falls, most aged adults with a history of falling are likely to develop a fear of falling, leading to a decrease in their mobility level and impacting their overall quality of life.
João Marques, Plinio Moreno
openaire +3 more sources
Not all surveillance data are created equal—A multi‐method dynamic occupancy approach to determine rabies elimination from wildlife [PDF]
, 2019 1. A necessary component of elimination programmes for wildlife disease is effective surveillance. The ability to distinguish between disease freedom and non‐detection can mean the difference between a successful elimination campaign and new epizootics ...
Cliquet F. +10 more
core +2 more sources
The Effect of Personalization on Smartphone-Based Fall Detectors
Sensors, 2016 The risk of falling is high among different groups of people, such as older people, individuals with Parkinson's disease or patients in neuro-rehabilitation units.
Carlos Medrano +4 more
doaj +1 more source
Journal of Sensor and Actuator Networks, 2021 This paper makes four scientific contributions to the field of fall detection in the elderly to contribute to their assisted living in the future of Internet of Things (IoT)-based pervasive living environments, such as smart homes. First, it presents and
Nirmalya Thakur, Chia Y. Han
doaj +1 more source
Non-overlapping dual camera fall detection using the NAO humanoid robot [PDF]
, 2014 With an aging population and a greater desire for independence, the dangers of falling incidents in the elderly have become particularly pronounced. In light of this, several technologies have been developed with the aim of preventing or monitoring falls.
Catley, Edward +3 more
core +1 more source
Falls detection and assessment
Proceedings of the 8th International Conference on Management of Digital EcoSystems, 2016 The paper has the objective to define a fall detection methodology using the sensors available on smartphone. Furthermore, the paper proposes a platform that support the remote fall detection methodology modeling the emergency management by using a collaborative approach. The advantage of the proposed platform is that the fall detection doesn't need of
Biancone N. +3 more
openaire +2 more sources
The role and implications of mammalian cellular circadian entrainment
FEBS Letters, EarlyView.At their most fundamental level, mammalian circadian rhythms occur inside every individual cell. To tell the correct time, cells must align (or ‘entrain’) their circadian rhythm to the external environment. In this review, we highlight how cells entrain to the major circadian cues of light, feeding and temperature, and the implications this has for our
Priya Crosby
wiley +1 more source
Anti-Fall: A Non-intrusive and Real-time Fall Detector Leveraging CSI from Commodity WiFi Devices
, 2015 Fall is one of the major health threats and obstacles to independent living for elders, timely and reliable fall detection is crucial for mitigating the effects of falls.
B Scholkopf +5 more
core +1 more source
Posture recognition based fall detection system for monitoring an elderly person in a smart home environment [PDF]
, 2012 We propose a novel computer vision based fall detection system for monitoring an elderly person in a home care application. Background subtraction is applied to extract the foreground human body and the result is improved by using certain post-processing.
Chambers, Jonathan +4 more
core +1 more source