Estimation of human walking speed by Doppler radar for elderly care-Reference-Cited by-同舟云学术

Estimation of human walking speed by Doppler radar for elderly care

Published:2017-02-22 Issue:2 Volume:9 Page:181-191
ISSN:1876-1372
Container-title:Journal of Ambient Intelligence and Smart Environments
language:
Short-container-title:AIS

Author:

Rui Liyang¹,Chen Shanjie¹,Ho K.C.¹,Rantz Marilyn²,Skubic Marjorie¹

Affiliation:

1. Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA. E-mails: steve.rui1983@gmail.com, sjchen1984@gmail.com, hod@missouri.edu, skubicm@missouri.edu

2. Sinclair School of Nursing, University of Missouri, Columbia, MO, USA. E-mail: rantzm@missouri.edu

Publisher

IOS Press

Subject

Software

Reference43 articles.

1. Human motion analysis: A review;Aggarwal;Computer Vision and Image Understanding,1999

2. M. Alwan and R.A. Felder, Eldercare Technology for Clinical Practitioners, Humana Press, Totowa, NJ, 2008.

3. M. Anderson and R. Rogers, Micro-Doppler analysis of multiple frequency continuous wave radar signatures, in: Proceedings of SPIE Radar Sensor Technology, Orlando, Florida, 2007, pp. 654–670.

4. Day or night activity recognition from video using fuzzy clustering techniques;Banerjee;IEEE Transactions on Fuzzy Systems,2013

5. GMM-based target classification for ground surveillance Doppler radar;Bilik;IEEE Transcations on Aerospace Electronic Systems,2006

Cited by 10 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

1. Recent advances in wearable sensors and data analytics for continuous monitoring and analysis of biomarkers and symptoms related to COVID-19;Biophysics Reviews;2023-07-19

2. Radar Technology for River Flow Monitoring: Assessment of the Current Status and Future Challenges;Water;2023-05-17

3. Software solution of the model for evaluating the potential of new ICT solutions of intelligent environments for elderly;Health and Technology;2023-04-18

4. Gait Analysis;Health Information Science;2022

5. Sensors and Features for Assisted Living Technologies;Applied Machine Learning for Assisted Living;2022