Fall Detection With UWB Radars and CNN-LSTM Architecture

Fall detection is a major challenge for researchers. Indeed, a fall can cause injuries such as femoral neck fracture, brain hemorrhage, or skin burns, leading to significant pain. However, in some cases, trauma caused by an undetected fall can get worse with the time and conducts to painful end of l...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics Jg. 25; H. 4; S. 1273 - 1283
Hauptverfasser:	Maitre, Julien, Bouchard, Kevin, Gaboury, Sebastien
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Apartments Artificial neural networks Brain injury Burns Cameras Classification CNN-LSTM Detection End of life Fall Fall detection Falls Feature extraction Hemorrhage Informatics Injuries Leave-one-subject-out Long short-term memory Model testing Neural networks Pain Short term Three-dimensional displays Trauma Ultra wideband radar Ultrawideband
ISSN:	2168-2194, 2168-2208, 2168-2208
Online-Zugang:	Volltext
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