New Sensor System Tracks Coughs in a Room - Without Knowing Who's Coughing
Binghamton University researchers have developed 'CoughNet,' a sensor system that uses microphones and AI to track coughing frequency in public spaces. The system identifies coughs and distinguishes between individuals without recording personal identity.
Why it matters
This technology could help medical professionals monitor disease spread in public areas while maintaining user privacy.
A sensor used for CoughNet by Ismail's team, featuring a Raspberry Pi single-board computer.
PhD candidate Amir Esmaeili operating CoughNet.
Newswise — A team of Binghamton University researchers has developed a sensor system aimed at helping medical professionals more efficiently monitor how many people are coughing - and potentially spreading a disease - within a given area.
The prototype, dubbed " CoughNet ", was developed by Binghamton University Assistant Professor Dali Ismail , from the University's Thomas J. Watson College of Engineering and Applied Science , as well as PhD students Amir Esmaeili and Maryam Fazli. The prototype was presented at the 2026 Institute of Electrical and Electronics Engineers/Association for Computing Machinery Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE) in August 2026.
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