SYSTEM AND METHOD FOR AUTHENTICATING A PERSON BASED ON MOTION DATA FOR ONE OR MORE EARPIECES WORN BY THE PERSON

1 . A method of authenticating an identity of a person wearing one or more earpieces, the method comprising:

obtaining, by a computing system comprising one or more computing devices, motion data indicative of motion of one or more earpieces worn by the person;

determining, by the computing system, a motion signature for the person based, at least in part, on the motion data, the motion signature being unique to the person; and

authenticating, by the computing system, the identity of the person based, at least in part, on the motion signature.

2 . The method of claim 1 , wherein obtaining motion data indicative of motion of one or more earpieces comprises:

obtaining, by the computing system, first motion data indicative of motion of a first earpiece worn in a first ear of the person; and

obtaining, by the computing system, second motion data indicative of motion of a second earpiece worn in a second ear of the person.

3 . The method of claim 2 , wherein:

obtaining first motion data indicative of motion of the first earpiece comprises obtaining, by the computing system, one or more signals from one or more motion sensors of the first earpiece; and

obtaining second data from the second earpiece comprises obtaining, by the computing system, one or more signals from one or more motion sensors of the second earpiece.

4 . The method of claim 3 , wherein the one or more motion sensors of at least one of the first earpiece and the second earpiece comprise at least one of an accelerometer and a gyroscope.

5 . The method of claim 1 , wherein determining the motion signature for the person based, at least in part, on the motion data comprises:

providing, by the computing system, the motion data as an input to one or more machine-learned motion classifier models;

classifying, by the computing system, the motion data via the one or more machine-learned motion classifier models to determine the motion signature for the person; and

obtaining, by the computing system, the motion signature for the person as an output of the one or more machine-learned motion classifier models.

6 . The method of claim 1 , wherein authenticating the identity of the person comprises:

providing, by the computing system, the motion signature as an input to one or more machine-learned motion classifier models;

classifying, by the computing system, the motion signature via the one or more machine-learned motion classifier models to determine the identity of the person wearing the one or more earpieces; and

obtaining, by the computing system, the identity of the person as an output of the one or more machine-learned motion classifier models.

7 . The method of claim 1 , wherein authenticating the identity of the person comprises:

comparing, by the computing system, the motion signature for the person to a plurality of motion signatures, each of the plurality of motion signatures associated with a different person;

determining, by the computing system, a first motion signature of the plurality of motion signatures corresponds to the motion signature for the person; and

determining, by the computing system, the identity of the person wearing the one or more earpieces based, at least in part, on the first motion signature.

8 . The method of claim 1 , further comprising:

responsive to authenticating the identity of the person, determining, by the computing system, whether the person is permitted to access an area based, at least in part, on the identity of the person.

9 . The method of claim 1 , further comprising:

obtaining, by the computing system, biometric data for the person; and

wherein authenticating the identity of the person comprises authenticating, by the computing system, the identity of the person based on the motion signature and the biometric data.

10 . A person authentication system comprising:

one or more earpieces, the one or more earpieces comprising one or more motion sensors; and

a computing system communicatively coupled to the one or more earpieces, the computing system comprising one or more computing devices, the computing system configured to perform operations, the operations comprising:

obtaining motion data indicative of motion of the one or more earpieces when the one or more earpieces are being worn by the person;

determining a motion signature for the person based, at least in part, on the motion data, the motion signature being unique to the person; and

authenticating an identity of the person based, at least in part, on the motion signature.

11 . The person authentication system of claim 10 , wherein the one or more earpieces comprise a first earpiece and a second earpiece, the first earpiece configured to be worn in a first ear of the person, the second earpiece configured to be worn in a second ear of the person.

12 . The person authentication system of claim 10 , wherein the one or more motion sensors comprise at least one of an accelerometer and a gyroscope.

13 . The person authentication system of claim 10 , wherein the one or more earpieces comprise a modal antenna configurable in a plurality of antenna modes, each of the plurality of antenna modes having a distinct radiation pattern.

14 . The person authentication system of claim 11 , wherein obtaining motion data indicative of motion of the one or more earpieces comprises:

obtaining first motion data indicative of motion of a first earpiece worn in a first ear of the person; and

obtaining second motion data indicative of motion of a second earpiece worn in a second ear of the person.

15 . The person authentication system of claim 14 , wherein

obtaining first motion data indicative of motion of the first earpiece comprises obtaining, by the computing system, one or more signals from one or more motion sensors of the first earpiece; and

obtaining second data from the second earpiece comprises obtaining, by the computing system, one or more signals from one or more motion sensors of the second earpiece.

16 . The person authentication system of claim 10 , wherein the operation of determining the motion signature for the person based, at least in part, on the motion data comprises:

Providing the motion data as an input to one or more machine-learned motion classifier models;

classifying the motion data via the one or more machine-learned motion classifier models to determine the motion signature for the person; and

obtaining the motion signature for the person as an output of the one or more machine-learned motion classifier models.

17 . The person authentication system of claim 10 , wherein the operation of authenticating the identity of the person comprises:

providing the motion signature as an input to one or more machine-learned motion classifier models;

classifying the motion signature via the one or more machine-learned motion classifier models to determine the identity of the person wearing the one or more earpieces; and

obtaining the identity of the person as an output of the one or more machine-learned motion classifier models.

18 . The person authentication system of claim 10 , wherein the computing system is communicatively coupled to the one or more earpieces via a wireless network.

19 . The person authentication system of claim 10 , wherein the motion signature is indicative of a gait of the person.

20 . The person authentication system of claim 10 , wherein the one or more earpieces are communicatively coupled to one or more motion sensor systems worn by the person.