Results 31 to 40 of about 548,400 (251)
Decline and fall of aging astrocytes: the human perspective
Neural Regeneration ResearchAlexei Verkhratsky, Alexey Semyanov
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Fall Detection and Direction Judgment Based on Posture Estimation
Discrete Dynamics in Nature and Society, 2022 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
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Associated human factors for falls and fall-related injuries [PDF]
WIT Transactions on the Built Environment, 2009 Purpose: Unintentional falls are common, especially among older adults. Many falls result in injuries, which lead to more medical conditions, disability, or even death. The current study evaluated the occurrence of falls and fall-related injuries, and their associated human factors among the population aged 45 years or older in the U.S.
K. Y. Z. Forrest, J. M. Cali
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Indoor Human Fall Detection Algorithm Based on Wireless Sensing
Tsinghua Science and Technology, 2022 As the main health threat to the elderly living alone and performing indoor activities, falls have attracted great attention from institutions and society.
Chao Wang +5 more
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Fall prediction based on biomechanics equilibrium using Kinect
International Journal of Distributed Sensor Networks, 2017 The fall is one of the most important research fields of solitary elder healthcare at home based on Internet of Things technology. Current studies mainly focus on the fall detection, which helps medical staffs bring a fallen elder out of danger in time ...
Xu Tao, Zhou Yun
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Journal of NeuroEngineering and Rehabilitation, 2023 Background Aging degrades the balance and locomotion ability due to frailty and pathological conditions. This demands balance rehabilitation and assistive technologies that help the affected population to regain mobility, independence, and improve their ...
Lei Li +10 more
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Multimodal Database for Human Activity Recognition and Fall Detection
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
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Two-Dimensional Mechanical Model of Human Stability in External Force-Caused Fall
Applied Sciences, 2023 The paper proposes a two-dimensional model of human stability. The model allows for gaining data on forces and moments of forces being the effect of musculoskeletal interactions of body parts at human joints.
Martyna Sopa +3 more
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Human Fall Detection Based on Re-Parameterization and Feature Enhancement
IEEE Access, 2023 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
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TelUP Human Fall Dataset: A Motion Forecasting Study of Human Falls
JURNAL INFOTELThis study investigates multitask learning approaches for human motion forecasting and fall classification using pose data extracted from video sequences. A custom dataset, the TelUP HumanFall Forecasting Dataset, was developed, containing annotated video frames representing fall and non-fall scenarios captured from six participants.
Andi Prademon Yunus +8 more
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