ListarArquitectura y Tecnología de Computadores por materia "Accelerometer"
Mostrando ítems 1-7 de 7
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Ponencia
An Automated Fall Detection System Using Recurrent Neural Networks
(Springer, 2019)Falls are the most common cause of fatal injuries in elderly people, causing even death if there is no immediate assistance. ...
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Artículo
Analysis of Android Device-Based Solutions for Fall Detection
(MDPI, 2015)Falls are a major cause of health and psychological problems as well as hospitalization costs among older adults. Thus, ...
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Artículo
AnkFall—Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks
(MDPI, 2021)Falls are one of the leading causes of permanent injury and/or disability among the elderly. When these people live alone, ...
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Artículo
Comparison and Characterization of Android-Based Fall Detection Systems
(MDPI, 2014)Falls are a foremost source of injuries and hospitalization for seniors. The adoption of automatic fall detection mechanisms ...
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Artículo
IoT garment for remote elderly care network
(Elsevier, 2021-06-16)The elderly is a continuous growth sector thanks to the life expectancy increase in Western society. This sector is ...
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Ponencia
Lower-Limb Falling Detection System Using Gated Recurrent Neural Networks
(IARIA XPS Press, 2020-03-22)Accidental falls are one of the most common causes of premature disability and mortality related to unnatural causes. This ...
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Artículo
Wearable Fall Detector Using Recurrent Neural Networks
(MDPI, 2019)Falls have become a relevant public health issue due to their high prevalence and negative effects in elderly people. ...