Results 41 to 50 of about 11,090,884 (273)
Bi-Modal Multiperspective Percussive (BiMP) Dataset for Visual and Audio Human Fall Detection
Falls are the leading cause of injuries and fatalities among older individuals propagating concerns for health and safety. Mitigating these concerns requires timely intervention and response to minimize health complications.
Joe Dibble, Michael C. F. Bazzocchi
doaj +1 more source
Modeling Human Skeleton Joint Dynamics for Fall Detection
The increasing pace of population aging calls for better care and support systems. Falling is a frequent and critical problem for elderly people causing serious long-term health issues. Fall detection from video streams is not an attractive option for real-life applications due to privacy issues. Existing methods try to resolve this issue by using very
Sania Zahan +2 more
openaire +4 more sources
Non-overlapping dual camera fall detection using the NAO humanoid robot [PDF]
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.
Howells, Gareth +7 more
core +1 more source
Human Movement Recognition Based on the Stochastic Characterisation of Acceleration Data
Human activity recognition algorithms based on information obtained from wearable sensors are successfully applied in detecting many basic activities.
Mario Munoz-Organero, Ahmad Lotfi
doaj +1 more source
The study of skeleton description reduction in the human fall-detection task
Accurate and reliable real-time fall detection is a key aspect of any intelligent elderly people care system. A lot of modern RGB-D cameras can provide a skeleton description of a human figure as a compact pose presentation. This makes it possible to use
O.S. Seredin, A.V. Kopylov, E.E. Surkov
doaj +1 more source
Fall Detection and Direction Judgment Based on Posture Estimation
For the problem of elderly people falling easily, it is very necessary to correctly detect the occurrence of falls and provide early warning, which can greatly reduce the injury caused by falls.
Chunmiao Yuan +3 more
doaj +1 more source
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
Fall Detection System-Based Posture-Recognition for Indoor Environments
The majority of the senior population lives alone at home. Falls can cause serious injuries, such as fractures or head injuries. These injuries can be an obstacle for a person to move around and normally practice his daily activities.
Abderrazak Iazzi +2 more
doaj +1 more source
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
Human Fall Detection Based on Re-Parameterization and Feature Enhancement
It is easy to fall when the stairs, subway stations, bus stations, and factories are crowded. Real-time detection of human falls is helpful for timely assistance.
Guoxin Shen +5 more
doaj +1 more source

