US 2022/0029986 A1 · METHODS AND SYSTEMS OF BIOMETRIC IDENTIFICATION IN TELEMEDICINE USING REMOTE SENSING

Abstract

In an aspect, a system for biometric identification in telemedicine includes a computing device configured to initiate a communication interface with a client device operated by a human subject, wherein the communication interface includes an audiovisual streaming protocol, receive, from at least a remote sensor at the human subject, a plurality of current physiological data, generate at least a biometric identification signature of the human subject, wherein generating further includes receiving subject signature training data, including a plurality of category descriptors and correlated physiological data entries, training a biometric signature model as a function of the subject signature training data and a machine-learning process, generating the biometric identification signature as a function of the biometric signature model, determining a degree of similarity between the plurality of current physiological data and the at least a biometric signature, and calculate an identity quantifier as a function of the degree of similarity.

Claims20

Dependent claims

A system for authentication of physiological data for use in telemedicine, the system comprising a computing device configured to:

initiate a communication interface between the computing device and a client device, wherein the communication interface includes an audiovisual streaming protocol;
receive, using the audiovisual streaming protocol, a first physiological sample set;
generate a biometric identification signature of a human subject, wherein generating the biometric identification signature further comprises:
receiving a subject signature training data comprising a plurality physiological data entries;
training a machine-learning model as a function of a machine-learning process and the subject signature data;
and
generating the biometric identification signature as a function of the machine-learning model;
determine a first degree of similarity between the plurality of the first physiological sample set and the biometric signature;
calculate an identity quantifier as a function of the first degree of similarity;
and
authenticate the first physiological sample set to the human subject, as a function of the identity quantifier.

8 more elements

A method of authentication of physiological data for use in telemedicine, the method comprising:

initiating, using a computing device, a communication interface between the computing device and a client device, wherein the communication interface includes an audiovisual streaming protocol;
receiving, using the computing device and the audiovisual streaming protocol, a first physiological sample set;
generating, using the computing device, a biometric identification signature of a human subject, wherein generating the biometric identification signature further comprises:
receiving a subject signature training data, comprising a plurality physiological data entries;
training a machine-learning model as a function of a machine-learning process and the subject signature data;
and
generating the biometric identification signature as a function of the machine-learning model;
determine, using the computing device, a first degree of similarity between the plurality of the first physiological samples set and the biometric signature;
calculate, using the computing device, an identity quantifier as a function of the first degree of similarity;
and
authenticate, using the computing device, the first physiological sample set as belonging to the human subject, as a function of the identity quantifier.

8 more elements

Dependencies are inferred from the claim text.

Methods and systems of biometric identification in telemedicine using remote sensing

Life of this patent

Methods and systems of biometric identification in telemedicine using remote sensing

Life of this patent

Abstract

Claims20