Patents
Patents and invention disclosures resulting from IMPRESS Lab research. IMPRESS Lab members are shown in bold. For the complete publication record, please see Dr. Gurbuz’s full publication list or Google Scholar.
Granted Patents
2. Radar-Based Methods and Apparatus for Communication and Interpretation of Sign Languages
Inventors: S. Z. Gurbuz, A. C. Gurbuz, C. Crawford and D. J. Griffin
U.S. Patent 11,301,672 B2 — granted April 12, 2022
This patent covers radar-based sensing for recognizing and interpreting sign language. Rather than cameras, it uses radio-frequency sensors to capture the kinematics of signing — the range, velocity and angular motion of the hands and arms — and processes those micro-Doppler signatures with learning algorithms to identify signs. Because RF sensing is non-contact, works in darkness and does not record imagery, the approach offers a privacy-preserving path to sign-language-driven human–computer interaction and smart environments.
Read the full patent (PDF) · View on Google Patents
Filing history
- Invention disclosure filed: February 16, 2018
- U.S. provisional application 62/834,760 filed: April 16, 2019
- Non-provisional application filed: April 24, 2020
- Application publication US 2020/0334452: October 22, 2020
- Patent granted: April 12, 2022
Citation (BibTeX)
@patent{gurbuz2022signlanguage,
author = {S. Z. Gurbuz and A. C. Gurbuz and C. Crawford and D. J. Griffin},
title = {Radar-Based Methods and Apparatus for Communication and Interpretation of Sign Languages},
number = {US 11,301,672 B2},
nationality = {United States},
assignee = {The Board of Trustees of the University of Alabama},
year = {2022},
month = {apr},
day = {12},
url = {https://patents.google.com/patent/US11301672B2/en}
}
1. Compressive Sensing Systems and Related Methods
Inventors: A. C. Gurbuz, V. Cevher, J. H. McClellan and R. Chellappa
U.S. Patent 8,379,485 B2 — granted February 19, 2013
This patent describes compressive sensing methods for estimating the bearing (direction of arrival) of sources using distributed wireless sensor arrays. By exploiting the spatial sparsity of the sources, the technique reconstructs the scene from far fewer measurements than conventional array processing requires — reducing sensing, communication and power demands in wireless array systems while retaining high angular resolution.
Read the full patent (PDF) · View on Google Patents
Filing history
- Invention disclosure filed: November 3, 2008
- PCT application PCT/US2008/082210 filed with Georgia Tech Research Corporation
- Patent granted: February 19, 2013
Citation (BibTeX)
@patent{gurbuz2013compressive,
author = {A. C. Gurbuz and V. Cevher and J. H. McClellan and R. Chellappa},
title = {Compressive Sensing Systems and Related Methods},
number = {US 8,379,485 B2},
nationality = {United States},
assignee = {Georgia Tech Research Corporation and University of Maryland},
year = {2013},
month = {feb},
day = {19},
url = {https://patents.google.com/patent/US8379485B2/en}
}Invention Disclosures
1. A Methodology to Map Topsoil Moisture from Small Unmanned Aircraft Systems
Inventors: M. Kurum and A. C. Gurbuz
Invention disclosure submitted to the Office of Technology Management, September 30, 2020 — license option agreement signed, October 2020
A method for producing maps of near-surface soil moisture from small UAS platforms using reflected GNSS signals. The technique re-uses existing satellite navigation transmissions as signals of opportunity, so no active transmitter is required on the aircraft, enabling low-cost, field-scale soil moisture mapping for precision agriculture.
Full publication record: alicafergurbuz.org/publications · Google Scholar