Abstract: In accordance with some embodiments, an apparatus for privacy protection is provided. The apparatus includes a housing arranged to hold a second device; one or more sensors, at least partially supported by the housing, operable to continuously collect biometric data of a user; an authentication neural network, operable to extract from the biometric data a plurality feature vectors associated with a plurality of identifiable scores; and a decision unit, coupled to the authentication neural network, operable to generate an authentication score as a function of the plurality of identifiability scores and the plurality of feature vectors, determine whether or not the authentication score satisfies an authentication threshold, and gate electronic access to the second device base on whether or not the authentication score satisfies the authentication threshold.

Abstract: Disclosed is an apparatus performing a method including: receiving, from an apparatus including a housing arranged to hold a personal communication device used by a user, a notification indicating a first authentication score of the user is below a first pre-determined threshold, providing a challenge to the personal communication device. In some embodiments, the challenge is selected based on one or more sensor data obtained by at least one of the apparatus or the personal communication device. In some embodiments, the method includes calculating a second authentication score based on a response to the challenge, and causing the apparatus, to gate electronic access to the personal communication device based on whether the second authentication score is above a second pre-determined threshold.

Abstract: Disclosed is an apparatus performing a method including: receiving, by a decision unit coupled to a plurality of sensors at least partially supported by a housing which holds a personal communication device, trait data of a user of the personal communication device and determining whether or not a first authentication score generated based on a first set of trait data and a first set of weights assigned to the first set of trait data is above a pre-determined threshold. In some embodiments, the method includes providing a challenge to the user based on a determination that the first authentication score is below the pre-determined threshold, and gating electronic access to the personal communication device based on whether or not a second authentication score generated based on a second set of trait data and the first set of weights is above the pre-determined threshold.

Abstract: In accordance with some embodiments, a training method for biometric identity and authentication is provided. The method includes obtaining biometric data from a plurality of sources. The method further includes establishing a candidate set of neural network parameters. The method additional includes extracting a plurality of feature vectors from the biometric data using the candidate set of neural network parameters. The method also includes determining whether or not the plurality of feature vectors match a training vector set within an error threshold. The method further includes updating the candidate set of neural network parameters in response to determining that the plurality of feature vectors do not match the training vector set within the error threshold.

Abstract: Disclosed is an apparatus performing a method including: receiving, from an apparatus including a housing arranged to hold a personal communication device used by a user, a notification indicating a first authentication score of the user is below a first pre-determined threshold, providing a challenge to the personal communication device. In some embodiments, the challenge is selected based on one or more sensor data obtained by at least one of the apparatus or the personal communication device. In some embodiments, the method includes calculating a second authentication score based on a response to the challenge, and causing the apparatus, to gate electronic access to the personal communication device based on whether the second authentication score is above a second pre-determined threshold.

Abstract: In accordance with some embodiments, a training method for biometric identity and authentication is provided. The method includes obtaining biometric data from a plurality of sources. The method further includes extracting a plurality of feature vectors from the biometric data. The method also includes determining a plurality of identifiability scores correspondingly associated with the plurality of feature vectors, where each of the plurality of identifiability scores provides a quantitative characterization of a relative uniqueness of a corresponding one of the plurality of feature vectors.

Abstract: In accordance with some embodiments, an apparatus for privacy protection is provided. The apparatus includes a housing arranged to hold a second device; one or more sensors, at least partially supported by the housing, operable to continuously collect biometric data of a user; an authentication neural network, operable to extract from the biometric data a plurality feature vectors associated with a plurality of identifiable scores; and a decision unit, coupled to the authentication neural network, operable to generate an authentication score as a function of the plurality of identifiability scores and the plurality of feature vectors, determine whether or not the authentication score satisfies an authentication threshold, and gate electronic access to the second device base on whether or not the authentication score satisfies the authentication threshold.

Abstract: In accordance with some embodiments, a training method for biometric identity and authentication is provided. The method includes obtaining biometric data from a plurality of sources. The method further includes extracting a plurality of feature vectors from the biometric data. The method also includes determining a plurality of identifiability scores correspondingly associated with the plurality of feature vectors, where each of the plurality of identifiability scores provides a quantitative characterization of a relative uniqueness of a corresponding one of the plurality of feature vectors.

Abstract: In accordance with some embodiments, a training method for biometric identity and authentication is provided. The method includes obtaining biometric data from a plurality of sources. The method further includes establishing a candidate set of neural network parameters. The method additional includes extracting a plurality of feature vectors from the biometric data using the candidate set of neural network parameters. The method also includes determining whether or not the plurality of feature vectors match a training vector set within an error threshold. The method further includes updating the candidate set of neural network parameters in response to determining that the plurality of feature vectors do not match the training vector set within the error threshold.