2023 APS Logo

IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting

July 23–28, 2023 • Portland, Oregon, USA

23-28 July 2023 • Portland, Oregon, USA

IEEE AP-S/URSI 2023

23-28 July 2023 • Portland, Oregon, USA

FR-A5.2P.3

An Unsupervised Learning Approach for Human Activity Recognition Based on Wave Propagation in Wireless Body Area Networks

Zhang Yanyang, Shao Yu, Xiong Lian, Chongqing University of Posts and Telecommunications China, China; Zhang Jie, University of Sheffield,Dept. of Electronic and Electrical Engineering,United Kingdom (Great Britain), United Kingdom
Session:
Computational Electromagnetics and Artificial Intelligence for Biomedical Applications
Track:
AP-S: Antenna Applications & Emerging Technologies
Location:
A 107-109 (OCC)
Session Time:
Fri, 28 Jul, 15:20 - 17:00 PDT (UTC -8)
Presentation Time:
Fri, 28 Jul, 16:00 - 16:20 PDT (UTC -8)
Session Co-Chairs:
Negar Ebadi, Stevens Institute of Technology and Claire Migliaccio, Université Côte d'Azur
Presentation
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Discussion
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Session FR-A5.2P
FR-A5.2P.1: Deep Learning for Tumor Margin Identification in Electromagnetic Imaging
Amir Mirbeik, Radiosight LLC, United States; Negar Ebadi (Tavassolian), Stevens Institute of Technology, United States
FR-A5.2P.2: Full Wave Analysis of the Exposure of Implantable Medical Devices to Electromagnetic Fields
Jose Duque, Universidad Nacional de Colombia, Colombia; Robert Urbina, Manuel Perez, Pontificia Universidad Javeriana, Colombia; Javier Araque, Universidad Nacional de Colombia, Colombia
FR-A5.2P.3: An Unsupervised Learning Approach for Human Activity Recognition Based on Wave Propagation in Wireless Body Area Networks
Zhang Yanyang, Shao Yu, Xiong Lian, Chongqing University of Posts and Telecommunications China, China; Zhang Jie, University of Sheffield,Dept. of Electronic and Electrical Engineering,United Kingdom (Great Britain), United Kingdom
FR-A5.2P.4: Computerized Tomography with Radon Transform using Microwaves and Electrostatics
Omar Ramahi, Saleh Ba Raean, Hamid Akbari-Chelaresi, University of Waterloo, Canada; Seyed Mirjahanmardi, Stanford University, United States; Vahid Nayyeri, Iran University of Science and Technology, Iran
FR-A5.2P.5: High-Performance Numerical Modeling for Detection of Rotator Cuff Tear
Sahar Borzooei, Claire Migliaccio, Victorita Dolean, Côte d'Azur University, France; Pierre-Henri Tournier, Sorbonne University, France; Christian Pichot, Côte d'Azur University, France
Resources
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