Receive Signal Strength- Based Human Activity Recognition-Reference-Cited by-同舟云学术

Receive Signal Strength- Based Human Activity Recognition

Published:2021-12-04 Issue: Volume: Page:
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Container-title:2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)
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Author:

Dib Wassila¹,Ghanem Khalida²,Ababou Amina³,Nedil Mourad⁴,Eskofier Bjorn⁵

Affiliation:

1. Center for Development of Advanced Technologies, CDTA,Telecommunication division,Algeria

2. Centre de Développement des Technologies Avancées, CDTA,Telecommunication division,Algiers,Algeria

3. Underground Communications Research Laboratory, LRTCS University of Quebec in Abitibi-Témiscamingue, UQAT,val-d'Or,QC,Canada

4. University of Sciences and Technologie Houari Boumediene, USTHB,Faculty of electronics and informatics,Algiers,Algeria

5. Friedrich-Alexander University Erlangen-Nuernberg,Underground Communications Department Artificial Intelligence in Biomedical Engineering (AIBE),Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9703448/9703685/09704667.pdf?arnumber=9704667

Reference9 articles.

1. Power and Bit Allocation in On-Body Channels Using MIMO Antenna Arrays

2. MIMO Stochastic Model and Capacity Evaluation of On-Body Channels

3. Off-body LOS and NLOS channel characterization in a mine environment

4. Interference cancellation usingCDMAmulti-user detectors for on-body channels;ghanem;IEEE 20th International Symposium on Personal Indoor and Mobile Radio Communications,2009

5. An experiemental system-based analyis of humain body motions using embedded sensors

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