activity
20182025
most citedEffect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors

26 citations · 26 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SP2025

Fusion of Cellular ISAC and Passive RF Sensing for UAV Detection and Tracking

Cole Dickerson, Sean Kearney, Sultan Manjur +5

The rapid growth of unmanned aerial vehicles (UAVs) in civilian and critical-infrastructure airspace has created a need for reliable detection and tracking systems that operate und…

eess.SP2021★ 26 cited

Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors

M. M. Rahman, E. Malaia, A. C. Gurbuz +2

RF sensors have been recently proposed as a new modality for sign language processing technology. They are non-contact, effective in the dark, and acquire a direct measurement of s…

eess.SP2021

ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF Sensor-Based User Interfaces

Emre Kurtoglu, Ali C. Gurbuz, Evie A. Malaia +3

The past decade has seen great advancements in speech recognition for control of interactive devices, personal assistants, and computer interfaces. However, Deaf and hard-ofhearing…

eess.SP2020

American Sign Language Recognition Using RF Sensing

Sevgi Z. Gurbuz, Ali C. Gurbuz, Evie A. Malaia +7

Many technologies for human-computer interaction have been designed for hearing individuals and depend upon vocalized speech, precluding users of American Sign Language (ASL) in th…

eess.SP2020

Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar Micro-Doppler Signatures

Baris Erol, Sevgi Zubeyde Gurbuz, Moeness G. Amin

Deep neural networks (DNNs) have recently received vast attention in applications requiring classification of radar returns, including radar-based human activity recognition for se…

eess.SP2018

DNN Transfer Learning from Diversified Micro-Doppler for Motion Classification

Mehmet Saygin Seyfioglu, Baris Erol, Sevgi Zubeyde Gurbuz +1

Recently, deep neural networks (DNNs) have been the subject of intense research for the classification of radio frequency (RF) signals, such as synthetic aperture radar (SAR) image…