Browsing Arquitectura y Tecnología de Computadores by Subject "Fall detection"
Now showing items 1-7 of 7
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Presentation
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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Article
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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Article
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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Presentation
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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Article
On the feature extraction process in machine learning. An experimental study about guided versus non-guided process in falling detection systems
(Elsevier, 2022)Falls are current events that can lead to severe injuries and even accidental deaths among the population, especially the ...
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Presentation
Sampling Frequency Evaluation on Recurrent Neural Networks Architectures for IoT Real-time Fall Detection Devices
(ScitePress Digital Library, 2019)Falls are one of the most frequent causes of injuries in elderly people. Wearable Fall Detection Systems provided a ...
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Article
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. ...