IP Library › Granted Patent US 12,321,142
Granted Patent B2
US 12,321,142 · App. 17/857,880 · Granted Jun 3, 2025

Systems and methods for improved assisted or independent living environments

Inventors: Jackie O. Jordan, II (Bloomington, IL); John Donovan (Bloomington, IL); David Turrentine (Normal, IL); Torri Wollenschlager (Bloomington, IL); Bryan R. Nussbaum (Bloomington, IL); Deanna L. Stockweather (Normal, IL); Jeffrey W. Stoiber (Atlanta, GA); Kerstin Markwardt (Phoenix, AZ); Gail L. Carlson (Bloomington, IL); Kyle C. Schiebel (Bloomington, IL); Troy Winslow (Bloomington, IL); Joseph P. Harr (Bloomington, IL); Ellakate Wagner (Bloomington, IL); Michael Harris, Jr. (Tempe, AZ); Jennylind Sun (Bloomington, IL)
Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
G05B15/02G01C21/20G06Q10/20G06Q30/01G06Q30/018G06Q40/08G06Q50/163G06V40/172G08B1/02G08B7/062G08B7/066G08B13/22G08B17/10G08B21/02G08B21/043G08B21/0446G08B21/0461G08B21/182G08B21/185H04L12/2818H04L12/2825H04L12/283H04L67/12H04N23/661H04W4/02H04W4/024G08B21/0453H04W4/90
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Quick Facts
Patent No.
US 12,321,142
App. No.
17/857,880
Filed
Jul 5, 2022
Granted
Jun 3, 2025
Kind
B2
Art Unit
3693
USPC
705/4
Abstract

The present embodiments relate to detecting instances of individuals being in peril within an independent or assisted living environment. According to certain aspects, with an individual's permission or affirmative consent, a hardware controller (such as a smart or interconnected home controller, or even a mobile device) may receive and analyze sensor data detected within the independent or assisted living environment to determine whether an individual may be in peril. In this circumstance, the hardware controller may generate a notification that indicates the situation and may communicate the notification to a proper individual, such as a family member or care giver, who may be in a position to mitigate or alleviate any risks posed by the situation. The foregoing functionality also may be used by an insurance provider to generate, update, or adjust insurance policies, premiums, rates, or discounts, and/or make recommendations to an insured individual.

Claims (44)

1. A computer-implemented method of detecting periled individuals within a property, the computer-implemented method comprising:

receiving, by a hardware controller, sensor data from at least one sensor located within the property, of a plurality of sensors installed at various locations on the property;

analyzing the sensor data by one or more processors, wherein analyzing the sensor data includes analyzing sensor data associated with a room of the property, and wherein analyzing the sensor data is based upon comparing the sensor data associated with the room of the property to baseline sensor data associated with the room of the property to determine a level of similarity between the sensor data associated with the room of the property and the baseline sensor data associated with the room of the property;

based upon whether the level of similarity meets a threshold value, determining that an individual located in the room of the property has experienced a fall;

responsive to determining that the individual located in the room of the property has experienced the fall, generating a notification indicating that the individual located in the room of the property has experienced the fall; and

communicating the notification to an electronic device.

2. The computer-implemented method of claim 1 , wherein the sensor data includes imaging data.

3. The computer-implemented method of claim 1 , wherein the sensor data includes motion data.

4. The computer-implemented method of claim 1 , wherein the electronic device is a personal digital assistant device.

5. The computer-implemented method of claim 1 , wherein analyzing the sensor data is further based upon accessing baseline sensor data associated with the individual.

6. The computer-implemented method of claim 5 , wherein analyzing the sensor data based upon accessing baseline sensor data associated with the individual includes learning a routine associated with the individual.

7. The computer-implemented method of claim 1 , wherein analyzing the sensor data comprises:

analyzing the sensor data to determine a current condition of the individual;

receiving updated sensor data from the at least one sensor; and

determining, from the updated sensor data, that a current condition is maintained for a threshold period of time.

8. A hardware controller for detecting periled individuals within a property, the hardware controller in communication with a set of sensors installed at various locations on the property, comprising:

a communication module adapted to interface with a plurality of sensors installed at various locations on the property;

a non-transitory memory adapted to store computer executable instructions; and

a processor adapted to interface with the communication module and the non-transitory memory, wherein the processor is configured to execute the computer executable instructions to cause the processor to:

receive, via the communication module, sensor data from at least one sensor of the plurality of sensors installed at various locations on the property,

analyze the sensor data, wherein analyzing the sensor data includes analyzing sensor data associated with a room of the property, and wherein analyzing the sensor data is based upon comparing the sensor data associated with the room of the property to baseline sensor data associated with the room of the property to determine a level of similarity between the sensor data associated with the room of the property and the baseline sensor data associated with the room of the property,

based upon whether the level of similarity meets a threshold value, determine that an individual located in the room of the property has experienced a fall,

responsive to determining that the individual located in the room of the property has experienced the fall, generate a notification indicating that the individual located in the room of the property has experienced the fall, and

communicate, via the communication module, the notification to an electronic device.

9. The hardware controller of claim 8 , wherein the sensor data includes imaging data.

10. The hardware controller of claim 8 , wherein the sensor data includes motion data.

11. The hardware controller of claim 8 , wherein the electronic device is a personal digital assistant device.

12. The hardware controller of claim 8 , wherein to analyze the sensor data, the processor is further configured to execute the computer executable instructions to cause the processor to access baseline sensor data associated with the individual.

13. The hardware controller of claim 12 , wherein analyzing the sensor data based upon accessing baseline sensor data associated with the individual includes learning a routine associated with the individual.

14. A non-transitory computer-readable medium storing instructions for detecting periled individuals within a property, that, when executed by one or more processors, cause the one or more processors to:

receive sensor data from at least one sensor located within the property, of a plurality of sensors installed at various locations on the property;

analyze the sensor data, wherein analyzing the sensor data includes analyzing sensor data associated with a room of the property, and wherein analyzing the sensor data is based upon comparing the sensor data associated with the room of the property to baseline sensor data associated with the room of the property to determine a level of similarity between the sensor data associated with the room of the property and the baseline sensor data associated with the room of the property;

based upon whether the level of similarity meets a threshold value, determine that an individual located in the room of the property has experienced a fall;

responsive to determining that the individual located in the room of the property has experienced the fall, generate a notification indicating that the individual located in the room of the property has experienced the fall; and

communicate the notification to an electronic device.

15. The non-transitory computer-readable medium storing instructions of claim 14 , wherein the sensor data includes imaging data.

16. The non-transitory computer-readable medium storing instructions of claim 14 , wherein the sensor data includes motion data.

17. The non-transitory computer-readable medium storing instructions of claim 14 , wherein the electronic device is a personal digital assistant device.

18. The non-transitory computer-readable medium storing instructions of claim 14 , wherein the instructions that cause the one or more processors to analyze the sensor data include instructions that cause the one or more processors to analyze the sensor data based upon accessing baseline sensor data associated with the individual.

19. The non-transitory computer-readable medium storing instructions of claim 18 , wherein analyzing the sensor data based upon accessing baseline sensor data associated with the individual includes learning a routine associated with the individual.

20. The non-transitory computer-readable medium storing instructions of claim 14 , wherein the instructions that cause the one or more processors to analyze the sensor data include instructions that cause the one or more processors to:

analyze the sensor data to determine a current condition of the individual;

receive updated sensor data from the at least one sensor of the plurality of sensors; and

determine, from the updated sensor data, that a current condition is maintained for a threshold period of time.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 9, 2022
From: JORDAN, JACKIE O., II; DONOVAN, JOHN; TURRENTINE, DAVID; WOLLENSCHLAGER, TORRI; NUSSBAUM, BRYAN R.; STOCKWEATHER, DEANNA; STOIBER, JEFFREY W.; MARKWARDT, KERSTIN; CARLSON, GAIL L.; SCHIEBEL, KYLE C.; WINSLOW, TROY; HARR, JOSEPH P.; WAGNER, ELLAKATE; HARRIS, MICHAEL, JR.; SUN, JENNYLIND
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 060758/0427 →
Continuity (19)
Continuation 17706302 · Mar 28, 2022
Continuation 17701316 · Mar 22, 2022
Continuation 16738328 · Jan 9, 2020
Continuation 14873865 · Oct 2, 2015
Provisional Application 62220383 · Sep 18, 2015
Provisional Application 62201671 · Aug 6, 2015
Provisional Application 62200375 · Aug 3, 2015
Provisional Application 62198813 · Jul 30, 2015
Provisional Application 62197343 · Jul 27, 2015
Provisional Application 62193317 · Jul 16, 2015
Provisional Application 62189329 · Jul 7, 2015
Provisional Application 62187642 · Jul 1, 2015
Provisional Application 62187651 · Jul 1, 2015
Provisional Application 62187624 · Jul 1, 2015
Provisional Application 62187645 · Jul 1, 2015
Provisional Application 62187666 · Jul 1, 2015
Provisional Application 62105407 · Jan 20, 2015
Provisional Application 62060962 · Oct 7, 2014
Related Publication 20220334544A1 · Oct 20, 2022
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