Paper Info
Title
Radar Signal Processing for Sensing in Assisted Living: The challenges associated with real-time implementation of emerging algorithms
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.
Year
DOI
Venue
2019
10.1109/MSP.2019.2903715
IEEE Signal Processing Magazine
Keywords
Field
DocType
Feature extraction,Sensors,Radar signal processing,Doppler effect,Doppler radar,Classification algorithms
Computer vision,Signal processing,Doppler radar,Data processing,Activity recognition,Computer science,Feature extraction,Supervised learning,Preprocessor,Artificial intelligence,Statistical classification,Machine learning
Journal
Volume
Issue
ISSN
36
4
1053-5888
Citations 
PageRank 
References 
1
0.35
0
Authors
8
Name
Order
Citations
PageRank
Julien Le Kernec183.85
Francesco Fioranelli2516.54
Chuanwei Ding341.06
Heng Zhao4153.54
li sun51812.14
Hong Hong6143.26
Jordane Lorandel720.73
Olivier Romain814128.20