System and method for virtual world biometric analytics through the use of a multimodal biometric analytic wallet

Patent metadata

Field	Value
Publication number	US-10679749-B2
Application number	US-19669508-A
Country	US
Kind code	B2
Filing date	Aug 22, 2008
Priority date	Aug 22, 2008
Publication date	Jun 9, 2020
Grant date	Jun 9, 2020

Abstract

The invention provides a system and method for virtual world biometric analytics through the use of a multimodal biometric analytic wallet. The system includes a virtual biometric wallet comprising a pervasive repository for storing biometric data, the pervasive repository including at least one of a biometric layer, a genomic layer, a health layer, a privacy layer, and a processing layer. The virtual biometric wallet further comprises an analytic environment configured to combine the biometric data from at least one of the biometric layer, the genomic layer, the health layer, the privacy layer, and the processing layer. The virtual biometric wallet also comprises a biometric analytic interface configured to communicate the biometric data to one or more devices within a virtual universe.

First claim

What is claimed is:

1. A computer implemented method for applying biometrics in a virtual universe comprising:
ascertaining biometric data comprising physiological biometric data, behavioral biometric data, and cognitive biometric data from a user in the real world, the behavioral biometric data including at least one of vocal tract encoding, voice spectral information, skin luminescence, thermograms, and eye movement;
ascertaining genetic data comprising a genomic sequence of the user in the real world;
performing a distortion of the biometric data using a non-invertible biometric template prior to authenticating the user;
authenticating the user based on a multimodal biometric system which combines the physiological biometric data, the behavioral biometric data, and the cognitive biometric data;
transferring the biometric data without the distortion to a virtual biometric wallet using a processor in response to the user being authenticated;
transferring the genetic data comprising the genomic sequence of the user to the virtual biometric wallet, using the processor;
processing the genomic sequence of the user in the virtual biometric wallet to generate a line of patterns for the genomic sequence of the user;
comparing the line of patterns for the genomic sequence of the user to a plurality of genetic risks and genetic disorders;
determining whether the user has at least one of the genetic risks and genetic disorders based on the comparing of the line of patterns;
storing any corresponding nucleotides in the virtual biometric wallet in response to a determination that the user has at least one of the genetic risks and genetic disorders;
mapping the biometric data from the virtual biometric wallet onto an avatar of the user such that the avatar emulates a mood of the user from the virtual biometric wallet;
diagnosing the user based on the mapped biometric data and the corresponding nucleotides in the virtual biometric wallet;
cloning the avatar to generate a plurality of cloned avatars, and each of the cloned avatars have a same biometric data as the mapped biometric data; and
simulating treatment on each of the cloned avatars based on the diagnosis of the user to determine a most effective treatment for the user,
wherein the multimodal biometric system is a storage system which acquires and integrates the biometric data from the user.

2. The computer implemented method of claim 1 , further comprising identifying the user in the virtual universe based on the biometric data and verifying that the user matches the avatar through a virtual check.

3. The computer implemented method of claim 1 , further comprising obtaining the biometric data from the virtual biometric wallet via an acquisition device which includes a biometric analytic interface which includes a privacy policy that includes information on what the acquisition device obtains.

4. The computer implemented method of claim 1 , further comprising ascertaining the genetic data and health data about the user, transferring the genetic data and the health data to the virtual biometric wallet, and allowing a physician to monitor the genetic data and the health data about the user via the virtual biometric wallet.

5. The computer implemented method of claim 1 , further comprising analyzing the biometric data using one or more classes of algorithms including Markov models, principal component analysis (PCA), clustering, genetic algorithms, wavelet functions, and neural networks.

6. The computer implemented method of claim 1 , wherein the steps of claim 1 are implemented on a combination of software, hardware, or software and hardware.

7. The computer implemented method of claim 1 , wherein the steps of claim 1 are offered by a service provider based on one of a fee and subscription basis.

8. The computer implemented method of claim 1 , wherein the steps of claim 1 are at least one of supported, deployed, maintained, and created by a service provider.

9. The computer implemented method of claim 1 , further comprising:
ascertaining the biometric data, and health data from the user in the real world;
analyzing the biometric data, the genetic data, and the health data using a reasoning class of algorithms comprising Bayes probability, belief networks, neural networks, and Markov models;
combining together two or more pieces of the biometric data, the genetic data, and the health data;
transferring the biometric data, and the health data to the virtual biometric wallet; and
mapping the biometric data, the genetic data, and the health data to a virtual representation of the user.

10. The computer implemented method of claim 9 , further comprising verifying the virtual representation of the user based on the ascertained data from the real world by requiring the user to periodically insert a thumbprint.

11. The computer implemented method of claim 1 , wherein:
the physiological biometric data includes at least one of the user's face, hand geometry, finges, ears, pina, iris, retina, and teeth;
the behavioral biometric data further includes skin luminescence, thermograms, venule flow, signature, eye movement, and gait; and
the cognitive biometric data includes at least one of though patterns, Purkinje fiber activations, functional magnetic resonance imaging (fMRI) under labeled movements and thoughts, electrocardiogram (ECG) recordings, and limb control brain mapping.

12. The computer implemented method of claim 4 , wherein:
the genetic data includes the user's genome, genes, and chromosomes; and
the health data includes at least one of the user's diagnosis history, family records, hereditary diseases, current health status, bodily statistics, and regional epidemiology factors.

13. The computer implemented method of claim 5 , wherein the one or more classes of algorithms also includes a reasoning class, a clustering class, a pattern recognition class, a data mining class, a dimensionality reduction class, and a search and optimization class.

14. The computer implemented method of claim 13 , wherein:
the reasoning class of algorithms includes a Bayes probability, belief networks, neural networks, and Markov models; and
the clustering class of algorithms includes K-means, C-means, density based algorithms, and minimum spanning trees (MST).

15. The computer implemented method of claim 14 , wherein:
the pattern recognition class includes neural networks, a discriminative feature space (DFFS), a linear discriminative analysis (LDA), hidden Markov model (HMM), Gabor filters, and state vector machines;
the data mining class includes algorithms that are at least one of vector based, Boolean, probabilistic, breadth/depth, bi-directional, and iterative deepening;
the dimensionality reduction class includes independent component analysis and the principal component analysis (PCA); and
the search and optimization class includes A* search trees, mini-max algorithms, and search algorithms.

16. The computer implemented method of claim 3 , further comprising periodically performing a virtual check by comparing the biometric data before transferring to the virtual biometric wallet with the biometric data transferred to the virtual wallet, and discontinuing access to the virtual biometric wallet if the biometric data, before transferring to the virtual biometric wallet, does not match the biometric data transferred to the virtual wallet.

17. The computer implemented method of claim 16 , wherein the acquisition device only obtains the biometric data from the virtual biometric wallet which is permitted by a priv

Assignees

• Baughman Aaron K
• Dawson Christopher J
• Graham Barry M
• Kamalsky David J
• IBM

Inventors

• Baughman Aaron K
• Dawson Christopher J
• Graham Barry M
• Kamalsky David J

Classifications

• G06Q50/00

  Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism (healthcare informatics G16H) · CPC title

• G06F21/6245

  Protecting personal data, e.g. for financial or medical purposes · CPC title

• G16H50/20 Primary

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title

• G06F21/32

  using biometric data, e.g. fingerprints, iris scans or voiceprints · CPC title

• G06K9/00885

  Physics · mapped topic