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Radar Signal Processing for Sensing in Assisted Living: The challenges associated with real-time implementation of emerging algorithms.

Authors :
Le Kernec, Julien
Fioranelli, Francesco
Ding, Chuanwei
Zhao, Heng
Sun, Li
Hong, Hong
Lorandel, Jordane
Romain, Olivier
Source :
IEEE Signal Processing Magazine; Jul2019, Vol. 36 Issue 4, p29-41, 13p
Publication Year :
2019

Abstract

This article covers radar signal processing for sensing in the context of assisted living (AL). This is presented through three example applications: human activity recognition (HAR) for activities of daily living (ADL), respiratory disorders, and sleep stages (SSs) classification. The common challenge of classification is discussed within a framework of measurements/preprocessing, feature extraction, and classification algorithms for supervised learning. Then, the specific challenges of the three applications from a signal processing standpoint are detailed in their specific data processing and ad hoc classification strategies. Here, the focus is on recent trends in the field of activity recognition (multidomain, multimodal, and fusion), health-care applications based on vital signs (superresolution techniques), and comments related to outstanding challenges. Finally, this article explores challenges associated with the real-time implementation of signal processing/classification algorithms. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10535888
Volume :
36
Issue :
4
Database :
Complementary Index
Journal :
IEEE Signal Processing Magazine
Publication Type :
Academic Journal
Accession number :
137233103
Full Text :
https://doi.org/10.1109/MSP.2019.2903715