System and method associated with user authentication based on an acoustic-based echo-signature

Patent metadata

Field	Value
Publication number	US-11513205-B2
Application number	US-201816754416-A
Country	US
Kind code	B2
Filing date	Oct 29, 2018
Priority date	Oct 30, 2017
Publication date	Nov 29, 2022
Grant date	Nov 29, 2022

Abstract

A system associated with predicting authentication of a device user based on a joint features representation related to an echo-signature associated with a device is disclosed. The system performs operations that include emitting acoustic signals in response to a request for processing of a profile associated with the device. The system receives a set of echo acoustic signals that are tailored based on reflection of the acoustic signals from unique contours of one or more depth portions associated with the user relative to a discrete epoch. One or one or more region segments associated with the echo acoustic signals are extracted in order to train a classification model. A classification model is generated based on the one or more region segments as extracted. A joint features representation based on the classification model is generated. A vector-based classification model is used in the prediction of the joint features representation. The system determines whether the joint features representation is associated with the echo-signature based on the prediction of the joint features representation.A corresponding method and computer-readable device are also disclosed.

First claim

What is claimed is:

1. A system associated with predicting authentication of a device user based on a joint features representation relative to an echo-signature associated with the device, the system comprising:
an echo-signature engine including a processor that performs the following operations:
emitting acoustic signals in response to a request for processing of a profile associated with the device;
receiving a set of echo acoustic signals that are tailored based on reflection of the acoustic signals from unique contours of one or more depth portions associated with the user relative to a discrete epoch;
extracting one or more region segments associated with the echo acoustic signals in order to train a classification model;
generating the classification model based on the one or more region segments as extracted;
extracting a joint features representation based on the classification model, the joint features representation comprising acoustic features and visual landmark features of the user obtained simultaneously during the discrete epoch;
generating a vector-based classification model used in the prediction of the joint features representation; and
determining whether the joint features representation is associated with the echo-signature based on the prediction of the joint features representation.

2. The system as recited in claim 1 , wherein the joint features representation associated with the user profile includes extracted landmark coordinates associated with the unique contours of one or more depth portions relative to the discrete epoch.

3. The system as recited in claim 2 , wherein generating the joint features representation associated with the user profile further comprises augmenting the joint features representation with synthesized acoustics features and augmented landmark coordinates associated with the unique contours of one or more depth portions associated with the user relative to a varied discrete epoch.

4. The system as recited in claim 3 , wherein one or more varied vector features associated with the synthesized acoustic features and/or augmented landmark coordinates are extracted for generating the joint features representation relative to the varied discrete epoch.

5. The system as recited in claim 1 , wherein the joint features representation associated with the user profile includes extracted acoustic features associated with the unique contours of one or more depth portions relative to the discrete epoch.

6. The system as recited in claim 1 , wherein the request for processing of the profile associated with a computing device comprises initial registration of an original user profile or authentication of a user profile relative to a current epoch for access to a computing device.

7. The system as recited in claim 6 , wherein the request for processing of the profile associated with the computing device further comprises: authenticating a current user profile for access to the computing device by comparison of vector features associated with the joint feature representation of the original user profile with vector features associated with the joint feature representation of the current user profile relative to the current epoch.

8. The system as recited in claim 7 , wherein the wherein the operations further comprise authenticating the current user profile based on whether the vector features associated with the joint feature representation of the current user profile is above a threshold with respect similarity to vector features associated with the joint feature representation of the original user profile.

9. The system as recited in claim 1 , wherein the operation of extracting the one or more region segments associated with the echo acoustic signals further comprises identifying a direct path segment in the one or more region segments associated with received acoustic echo signals.

10. The system as recited in claim 1 , wherein the operation of extracting the one or more region segments associated with the echo acoustic signals further comprises identifying a major echo segment in the one or more region segments associated with the received echo acoustic signals.

11. A method associated with predicting authentication of a device user based on a joint features representation relative to an echo-signature associated with the device, the method comprising:
an echo-signature engine including a processor that performs the following operations:
emitting acoustic signals in response to a request for processing of a profile associated with the device;
receiving a set of echo acoustic signals that are tailored based on reflection of the acoustic signals from unique contours of one or more depth portions associated with the user relative to a discrete epoch;
extracting one or more region segments associated with the echo acoustic signals in order to train a classification model;
generating the classification model based on the one or more region segments as extracted;
extracting a joint features representation based on the classification model, the joint features representation comprising acoustic features and visual landmark features of the user obtained simultaneously during the discrete epoch;
generating a vector-based classification model used in the prediction of the joint features representation; and
determining whether the joint features representation is associated with the echo-signature based on the prediction of the joint features representation.

12. The method as recited in claim 11 , wherein the joint features representation associated with the user profile includes extracted landmark coordinates associated with the unique contours of one or more depth portions relative to the discrete epoch.

13. The method as recited in claim 12 , wherein the operation of generating the joint features representation associated with the user profile further comprises: augmenting the joint features representation with synthesized acoustics features and augmented landmark coordinates associated with the unique contours of one or more depth portions associated with the user relative to a varied discrete epoch.

14. The method as recited in claim 13 , wherein one or more varied vector features associated with the synthesized acoustic features and/or augmented landmark coordinates are extracted for generating the joint features representation relative to the varied discrete epoch.

15. The method as recited in claim 11 , wherein the joint features representation associated with the user profile includes extracted acoustic features associated with the unique contours of one or more depth portions relative to the discrete epoch.

16. The method as recited in claim 11 , wherein the request for processing of the profile associated with a computing device comprises initial registration of an original user profile or authentication of a user profile relative to a current epoch for access to the computing device.

17. The method as recited in claim 16 , wherein the request for processing of the profile associated with the computing device further comprises: authenticating a current user profile for access to the computing device by comparison of vector features associated with the joint feature representation of the original user profile with vector features associated with the joint feature representation of the current user profile relative to the current epoch.

18. The method as recited in claim 17 , wherein the operations further comprise authenticating the current user profile based on whether the vector features associated with the joi

Assignees

• Univ New York State Res Found

Inventors

• Zhou Bing
• Ye Fan

Classifications

• G06N3/045

  Combinations of networks · CPC title

• G06F18/214

  Generating training patterns; Bootstrap methods, e.g. bagging or boosting · CPC title

• G06V40/171

  Local features and components; Facial parts (eye characteristics G06V40/18); Occluding parts, e.g. glasses; Geometrical relationships · CPC title

• G01S15/86

  Combinations of sonar systems with lidar systems; Combinations of sonar systems with systems not using wave reflection · CPC title

• G01S7/539 Primary

  using analysis of echo signal for target characterisation; Target signature; Target cross-section · CPC title