Denoising UWB Radar Data for Human Activity Recognition Using Convolutional Autoencoders

Human Activity Recognition (HAR) is one of the most popular research topics thanks to its usefulness in providing targeted, meaningful assistance to older adults. Because of the aging of the population in first-world countries, it becomes increasingly important to find innovative solutions that redu...

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Bibliographic Details
Published in:	IEEE access Vol. 11; p. 1
Main Authors:	Lafontaine, Virgile, Bouchard, Kevin, Maitre, Julien, Gaboury, Sebastien
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Activity of daily living Ambient intelligence Artificial neural networks Background noise Convolutional neural networks data filtering data processing Datasets deep learning Feature extraction Filtration Human activity recognition Monitoring Noise reduction Radar data Sensors Smart buildings Ultra wideband radar Ultrawideband radar unsupervised learning UWB radars
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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