Technology ID
TAB-4650

Hearing Protection Attenuation and Fit Using a Neural Network

E-Numbers
E-098-2020-0
Lead Inventor
Smalt, Christopher
Lead IC
CDC
Co-Inventors
Ciccarelli, Gregory
Murphy, William
ICs
CDC
Applications
Software / Apps
Occupational Safety and Health
Consumer Products
Development Stages
Prototype
Research Products
Research Equipment
Computational models/software

This technology includes systems and methods which allow for a determination of the attenuation and fit of a hearing protection device based on images of a user’s ear. This technology can be used in a wide range of industrial and military settings including but not limited to factories, construction sites, mines, mills, airports, railroads, and military combat training environments. A photograph of a person’s ears wearing hearing protection devices can be used to estimate whether or not that person is achieving sufficient or adequate attenuation to protect their ears against harmful noise exposure. Earplug manufacturers could provide the test attenuation data from their laboratory tests along with paired photographs of the subjects and the fitting estimation algorithm can be trained for new products.

Commercial Applications
The product could be as simple as a software application for a mobile device where the user photographs their earplugs in each ear and the software estimates the attenuation that the user has achieved. A second more commercialized product would be a dedicated system or technology that can monitor workers’ hearing protector use from a series of video images.

Competitive Advantages
The methods provide immediate feedback about the users’ ear protection, would not require any specialized acoustic testing space or equipment beyond a camera and the software to perform the analysis, and could be developed to extend across all earplug designs.
Licensing Contact:
Prabhu, Yogikala
yogikala.prabhu@nih.gov