Denoising UWB Radar Data for Human Activity Recognition Using Convolutional Autoencoders
Author:
Affiliation:
1. Laboratoire d’Intelligence Ambiante pour la Reconnaissance d’Activités (LIARA), Université du Québec à Chicoutimi, Saguenay, Canada
Funder
Natural Sciences and Engineering Research Council of Canada (NSERC)–Discovery
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10197389.pdf?arnumber=10197389
Reference32 articles.
1. Unobtrusive Activity Recognition of Elderly People Living Alone Using Anonymous Binary Sensors and DCNN
2. Employing a deep convolutional neural network for human activity recognition based on binary ambient sensor data
3. A Vision-Based System for Monitoring Elderly People at Home
4. Human Activity Recognition for Assisted Living Based on Scene Understanding
5. Safety Aspects of People Exposed to Ultra Wideband Radar Fields
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