{"id":97,"date":"2025-07-27T00:13:31","date_gmt":"2025-07-27T05:13:31","guid":{"rendered":"https:\/\/research.ece.ncsu.edu\/impress\/?page_id=97"},"modified":"2026-08-02T20:44:02","modified_gmt":"2026-08-03T01:44:02","slug":"patents","status":"publish","type":"page","link":"https:\/\/research.ece.ncsu.edu\/impress\/patents\/","title":{"rendered":"Patents"},"content":{"rendered":"\n
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Patents and invention disclosures resulting from IMPRESS Lab research. IMPRESS Lab members are shown in bold<\/strong>. For the complete publication record, please see Dr. Gurbuz\u2019s full publication list<\/a> or Google Scholar<\/a>.<\/p>\n\n\n\n

Granted Patents<\/h3>\n\n\n\n
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\"Radar-Based<\/a><\/figure>\n<\/div>\n\n\n\n
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2.<\/strong> Radar-Based Methods and Apparatus for Communication and Interpretation of Sign Languages<\/a>
Inventors: S. Z. Gurbuz, A. C. Gurbuz<\/strong>, C. Crawford and D. J. Griffin
U.S. Patent 11,301,672 B2 \u2014 granted April 12, 2022<\/em><\/p>\n\n\n\n

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 \u2014 the range, velocity and angular motion of the hands and arms \u2014 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\u2013computer interaction and smart environments.<\/p>\n\n\n\n

Read the full patent (PDF)<\/a> \u00a0\u00b7\u00a0 View on Google Patents<\/a><\/p>\n\n\n\n

Filing history<\/summary>\n