Machine Learning-Based Joint Vital Signs and Occupancy Detection With IR-UWB Sensor-Reference-Cited by-同舟云学术

Machine Learning-Based Joint Vital Signs and Occupancy Detection With IR-UWB Sensor

Published:2023-04-01 Issue:7 Volume:23 Page:7475-7482
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Numan Paulson Eberechukwu¹^ORCID,Park Hyunwoo¹^ORCID,Lee Jaebok¹^ORCID,Kim Sunwoo¹^ORCID

Affiliation:

1. Department of Electronic Engineering, Hanyang University, Seoul, South Korea

Funder

Materials and Components Technology Development Program

Ministry of Trade, Industry and Energy (MOTIE) through Development of Co-Useable Antenna Modules and Wideband Connectors for 5G Integrated Connected Car

WINNERCOM Company Ltd., Seoul, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10089784/10054563.pdf?arnumber=10054563

Reference31 articles.

1. Indoor Activity and Vital Sign Monitoring for Moving People with Multiple Radar Data Fusion

2. Attention-Based LSTM for Non-Contact Sleep Stage Classification Using IR-UWB Radar

3. Deep Neural Network-Based In-Vehicle People Localization Using Ultra-Wideband Radar

4. Detection of Multiple Humans Equidistant From IR-UWB SISO Radar Using Machine Learning

5. Multi-Label Classification Using Binary Tree of Classifiers

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