MO-A5.1A.4
Deep Learning-Driven Monitoring of Physiotherapy Steps Using UWB Radar Technology
Lubna Lubna, Hira Hameed, Sidra Liaqat, Qammer H. Abbasi, Muhammad Imran, James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK, United Kingdom
Session:
Remote Sensing I Oral
Track:
AP-S: Propagation and Scattering
Location:
Room 201
Session Time:
Mon, 14 Jul, 08:00 - 09:40
Presentation Time:
Mon, 14 Jul, 09:00 - 09:20
Presentation
Discussion
Session MO-A5.1A
MO-A5.1A.1: Research on High Accuracy Deconvolution Signal Reconstruction Method Based on TSVD
Xiangxiang Wang, Haining Yang, Guangsheng Li, Na Li, University of Electronic Science and Technology of China, China
MO-A5.1A.2: Multi-Satellite and Multi-Frequency Signal Fusion Method for SNR Enhancement
Qi Wang, Danmeng Zhang, Pengbo Wei, Jinxing Li, Xidian university, China
MO-A5.1A.3: Spaceborne SAR Interference Suppression Based on an Enhanced RPCA Method
Xuezhi Chen, Yan Huang, Xutao Yu, Yuan Mao, State Key Lab of Millimeter Waves, Southeast University, Nanjing, China, China; Zaichen Zhang, National Mobile Communications Research Lab, Southeast University, Nanjing, China., China; Zhanye Chen, Wei Hong, State Key Lab of Millimeter Waves, Southeast University, Nanjing, China, China
MO-A5.1A.4: Deep Learning-Driven Monitoring of Physiotherapy Steps Using UWB Radar Technology
Lubna Lubna, Hira Hameed, Sidra Liaqat, Qammer H. Abbasi, Muhammad Imran, James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK, United Kingdom
MO-A5.1A.5: Complex Plane Representation of Double Bounce Scattering Characteristics for Permittivity Classification
Steve Tyler, ONERA, France; Laetitia Thirion, Régis Guinvarc’h, CentraleSupélec, France; Xavier Dupuis, ONERA, France
Resources
No resources available.