no code implementations • 16 Jul 2020 • Li Yu, Hisham Abuella, Md Zobaer Islam, John F. O'Hara, Christopher Crick, Sabit Ekin
In this paper, we demonstrate the ability to recognize hand gestures in a non-contact, wireless fashion using only incoherent light signals reflected from a human subject.
no code implementations • 20 Jul 2020 • Sabit Ekin, John F. O'Hara, Emrah Turgut, Nicole Colston, Jeffrey L. Young
It is also intended to pique student interest by allowing them to personally assemble, operate, and explore a light-based wireless communication system.
no code implementations • 9 Jan 2023 • Md Zobaer Islam, Brenden Martin, Carly Gotcher, Tyler Martinez, John F. O'Hara, Sabit Ekin
The random forest model achieved the highest classification accuracy of 96. 75% with data collected at a 0. 5m distance.
no code implementations • 9 Jan 2023 • Hisham Abuella, Md Zobaer Islam, Russ Messenger, John F. O'Hara, Sabit Ekin
In this letter, a simplified path loss model that is mathematically more tractable is proposed for vehicular sensing and communication systems that use visible light technology.
no code implementations • 14 Jan 2023 • Md Zobaer Islam, Li Yu, Hisham Abuella, John F. O'Hara, Christopher Crick, Sabit Ekin
In this study, we present a wireless (non-contact) gesture recognition method using only incoherent light wave signals reflected from a human subject.
no code implementations • 10 Jan 2023 • Russ Messenger, Md Zobaer Islam, Matthew Whitlock, Erik Spong, Nate Morton, Layne Claggett, Chris Matthews, Jordan Fox, Leland Palmer, Dane C. Johnson, John F. O'Hara, Christopher J. Crick, Jamey D. Jacob, Sabit Ekin
Highway work zones are susceptible to undue accumulation of motorized vehicles which calls for dynamic work zone warning signs to prevent accidents.
no code implementations • 19 Apr 2023 • Md Zobaer Islam, Sabit Ekin, John F. O'Hara
The increasing demand for wireless sensing systems has led to the exploration of alternative technologies to overcome the spectrum scarcity of traditional approaches based on radio frequency (RF) waves or microwaves.
no code implementations • 2 Nov 2023 • Md Zobaer Islam, Brenden Martin, Carly Gotcher, Tyler Martinez, John F. O'Hara, Sabit Ekin
In this study, we present a non-contact respiratory anomaly detection method using incoherent light-wave signals reflected from the chest of a mechanical robot that can breathe like human beings.
no code implementations • 20 Dec 2023 • Md Zobaer Islam, Sabit Ekin, John F. O'Hara, Gary Yen
In this study, we present a deep learning-based approach for time-series respiration data classification.