Le Kernec, J. , Fioranelli, F. , Ding, C., Zhao, H., Sun, L., Hong, H., Lorandel, J. and Romain, O. (2019) Radar signal processing for sensing in assisted living: the challenges associated with real-time implementation of emerging algorithms. IEEE Signal Processing Magazine, 36(4), pp. 29-41. (doi: 10.1109/MSP.2019.2903715)
|
Text
181158.pdf - Accepted Version 1MB |
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.
| Item Type: | Articles |
|---|---|
| Additional Information: | Special Issue on Advances in Radar Systems for Modern Civilian and Commercial Applications |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Fioranelli, Dr Francesco and Le Kernec, Dr Julien |
| Authors: | Le Kernec, J., Fioranelli, F., Ding, C., Zhao, H., Sun, L., Hong, H., Lorandel, J., and Romain, O. |
| College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
| Journal Name: | IEEE Signal Processing Magazine |
| Publisher: | IEEE |
| ISSN: | 1053-5888 |
| ISSN (Online): | 1558-0792 |
| Published Online: | 26 June 2019 |
| Copyright Holders: | Copyright © 2019 IEEE |
| First Published: | First published in IEEE Signal Processing Magazine 36(4):29-41 |
| Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
University Staff: Request a correction | Enlighten Editors: Update this record
Funder and Project Information
Funder and Project Information