AI-Powered Noncontact In-Home Gait Monitoring and Activity Recognition System Based on mm-Wave FMCW Radar and Cloud Computing-Reference-Cited by-同舟云学术

AI-Powered Noncontact In-Home Gait Monitoring and Activity Recognition System Based on mm-Wave FMCW Radar and Cloud Computing

Author:

Abedi Hajar¹^ORCID,Ansariyan Ahmad²,Morita Plinio P.³,Wong Alexander¹,Boger Jennifer¹^ORCID,Shaker George²^ORCID

Affiliation:

1. Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada

2. Electrical Engineering Department, University of Waterloo, Waterloo, ON, Canada

3. School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada

Funder

NSERC

MITACS

Microsoft Inc.

Texas Instrument

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference62 articles.

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. In-Home Cluttered Environment Gait Analysis using mm-Wave Radar;2024 IEEE MTT-S International Microwave Biomedical Conference (IMBioC);2024-06-11