This patent covers a method than can authenticate a person using earphones, thanks to the movement of the mouth. The earphones record the shape of the ear canal during a predefined movement of the mandible and a machine learning algorithm handles the recordings to identify the person.
This patent covers a method than can authenticate a person using earphones, thanks to the movement of the mouth. The earphones record the shape of the ear canal during a predefined movement of the mandible and a machine learning algorithm handles the recordings to identify the person. Once the algorithm has identified the person, they can connect to device whenever their earphones are inserted, without touching the device. Authentication methods are fundamental because they guarantee security and privacy of people’s activities through electronic devices. Biometrics are regularly used for authentication because they combine excellent levels of security and usability. This invention allows people to authenticate to their device through their earphones.
Applications
Device authentication in all scenarios when hands are busy: at an airport gate, in the crowded subway, while driving. Future applications may include understanding if users are eating (and what they are eating), talking, yawning, coughing, or breathing; and where they are looking.
Unismart - University of Padua Foundation
Create your free account to connect with Unismart - University of Padua Foundation and thousands of other innovative organizations and professionals worldwide
Send a request for information
to Unismart - University of Padua Foundation
Technology Offers on Innoget are directly posted
and managed by its members as well as evaluation of requests for information. Innoget is the trusted open innovation and science network aimed at directly connect industry needs with professionals online.
Need help requesting additional information or have questions regarding this Technology Offer?
Contact Innoget support
