IP Library › Granted Patent US 10,825,095
Granted Patent B1
US 10,825,095 · App. 15/266,033 · Granted Nov 3, 2020

Using images and voice recordings to facilitate underwriting life insurance

Inventors: Michael L. Bernico (Bloomington, IL); Jeffrey Myers (Normal, IL)
Assignee: State Farm Mutual Automobile Insurance Company
G06Q40/08G06T7/0012G06T2207/10004G06T2207/30196
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Quick Facts
Patent No.
US 10,825,095
App. No.
15/266,033
Granted
Nov 3, 2020
Kind
B1
Abstract

A system and method for evaluating an insurance applicant as part of an underwriting process to determine one or more appropriate terms of life or other insurance coverage, such as premiums. A processing element employing a neural network is trained to correlate aspects of appearance and/or voice with personal and/or health-related characteristic. A database of images and/or voice recordings of individuals with known personal and/or health-related characteristics is provided for this purpose. The processing element is then provided with an image and/or voice recording of the insurance applicant. The image may be an otherwise non-diagnostic image, such as an ordinary “selfie.” The trained processing element analyzes the image of the insurance applicant, with their permission or affirmative consent, to determine the personal and/or health-related characteristic for the insurance applicant, and then, based upon that analysis, facilitates the underwriting process and/or suggests the one or more appropriate terms of insurance coverage.

Claims (27)

1. A system for evaluating an insurance applicant as part of an underwriting process to determine one or more terms of insurance coverage, the system comprising:

a data receiving circuit configured to receive moving image and audio data of the insurance applicant; and

a processor comprising an electronic circuit—

trained to correlate aspects of appearance and voice with a personal and/or health-related characteristic by being provided with a database of moving image and audio data of individuals having known personal and/or health-related characteristics, and

configured to analyze the moving image and audio data of the insurance applicant to determine the personal and/or health-related characteristic for the insurance applicant, and to suggest a term of insurance coverage based at least in part on the determined personal and/or health-related characteristic.

2. The system as set forth in claim 1 , wherein the insurance coverage is life insurance coverage.

3. The system as set forth in claim 1 , wherein the term of insurance coverage includes an insurance premium or discount.

4. The system as set forth in claim 1 , wherein the moving image data of the insurance applicant includes a digital image.

5. The system as set forth in claim 1 , wherein the moving image data of the insurance applicant includes an analog image.

6. The system as set forth in claim 1 , wherein the processor is further—

trained to correlate aspects of appearance with the personal and/or health-related characteristic by being provided with additional data of the database comprising still image data of individuals having the known personal and/or health-related characteristics,

configured to determine the personal and/or health-related characteristic for the insurance applicant in part by analyzing a still image of the insurance applicant.

7. The system as set forth in claim 6 , wherein the still image of the insurance applicant is an otherwise non-diagnostic conventional image.

8. The system as set forth in claim 7 , wherein the still image of the insurance applicant is a selfie taken by the insurance applicant.

9. The system as set forth in claim 1 , wherein the processor is trained using supervised machine learning.

10. The system as set forth in claim 1 , wherein training the processor is trained using unsupervised machine learning.

11. The system as set forth in claim 1 , wherein the processor employs a neural network.

12. The system as set forth in claim 11 , wherein the neural network is a convolutional neural network.

13. The system as set forth in claim 11 , wherein the neural network is a deep learning neural network.

14. The system as set forth in claim 1 , wherein the personal and/or health-related characteristic is selected from the group consisting of: age, sex, weight, height, ethnicity, lifespan, cause of death, tobacco use, alcohol use, drug use, diet, and existing medical conditions, risk factors for future medical conditions.

15. The system as set forth in claim 1 , wherein the processor is further configured to use the determined personal and/or health-related characteristic to verify information provided by the insurance applicant.

16. The system as set forth in claim 1 , wherein the processor is further configured to use the determined personal and/or health-related characteristic to substantially automatically determine the term of coverage.

17. A system for evaluating an insurance applicant as part of an underwriting process to determine a life insurance premium, the system comprising:

a data receiving circuit configured to receive otherwise non-diagnostic conventional moving image and audio data of the insurance applicant; and

a processor comprising an electronic circuit employing a neural network and—

trained to correlate one or more aspects of appearance and/or voice with a personal and/or health-related characteristic by being provided with a database of otherwise non-diagnostic conventional moving image and audio data of individuals having known personal and/or health-related characteristics, and

configured to analyze the otherwise non-diagnostic conventional moving image and audio data of the insurance applicant to determine the personal and/or health-related characteristic for the insurance applicant, to use the determined personal and/or health-related characteristic to verify information provided by the insurance applicant, and to substantially automatically determine the life insurance premium based at least in part on the determined personal and/or health-related characteristic.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 15, 2016
From: BERNICO, MICHAEL L.; MYERS, JEFFREY S.
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 039754/0818 →
Continuity (1)
Provisional Application 62242127 · Oct 15, 2015
Cited By (1)
US 12,694,456