IP Library › Patent Application 18099570
Patent Application
App. No. 18/099,570

Homeowner Health Alerts and Mitigation Based on Home Sensor Data

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Quick Facts
Patent No.
US None
App. No.
18/099,570
Abstract

Techniques for detecting health conditions associated with residents of a home environment based upon data captured by in-home sensors may include monitoring sensor data associated with a home environment; analyzing the sensor data over a first period of time in order to identify a health condition associated with a resident of the home environment; identifying one or more mitigation techniques for the health condition; providing an indication of the one or more mitigation techniques for the health condition, via a user interface; and analyzing the sensor data associated with the home environment over a second period of time, subsequent to providing the indication of the one or more mitigation techniques for the health condition via the user interface, in order to determine whether any of the one or more mitigation techniques were performed.

Claims (48)

1 . A computer-implemented method, comprising:

monitoring, by one or more processors, sensor data associated with a home environment;

analyzing, by one or more processors, the sensor data associated with the home environment over a first period of time in order to identify a health condition associated with a resident of the home environment;

identifying, by the one or more processors, one or more mitigation techniques for the health condition associated with the resident of the home environment;

providing, by the one or more processors, an indication of the one or more mitigation techniques for the health condition associated with the resident of the home environment, via a user interface; and

analyzing, by one or more processors, the sensor data associated with the home environment over a second period of time, subsequent to providing the indication of the one or more mitigation techniques for the health condition associated with the resident of the home environment via the user interface, in order to determine whether any of the one or more mitigation techniques for the health condition associated with the resident of the home environment were performed over the second period of time.

2 . The computer-implemented method of claim 1 , further comprising:

analyzing, by one or more processors, the sensor data associated with the home environment over a third period of time, subsequent to determining that one or more of the mitigation techniques for the health condition associated with the resident of the home environment were performed, in order to identify a change in the health condition associated with the resident of the home environment.

3 . The computer-implemented method of claim 1 , wherein monitoring the sensors data associated with the home environment and analyzing the sensor data associated with the home environment includes monitoring operational data associated with the home environment and analyzing the operational data associated with the home environment.

4 . The computer-implemented method of claim 1 , further comprising:

generating, by the one or more processors, an alert related to the health condition associated with the resident of the home environment; and

sending, by the one or more processors, the alert related to the health condition associated with the resident of the home environment to a medical provider or to a provider of emergency services.

5 . The computer-implemented method of claim 1 , wherein analyzing the sensor data associated with the home environment over the first period of time in order to identify the health condition associated with the resident of the home environment includes applying a trained machine learning model to the sensor data associated with the home environment over the first period of time in order to identify the health condition associated with the resident of the home environment.

6 . The computer-implemented method of claim 5 , further comprising:

obtaining, by the one or more processors, historical sensor data associated with historical home environments over historical periods of time, and historical health conditions associated with residents of the historical home environments over the historical periods of time;

and training, by the one or more processors, a machine learning model to identify new health conditions associated with residents of new home environments over new periods of time based upon new sensor data associated with the new home environments over the new periods of time, based upon the historical sensor data associated with historical home environments over historical periods of time, and historical health conditions associated with residents of the historical home environments over the historical periods of time, resulting in the trained machine learning model.

7 . A computer system, comprising one or more processors, and a memory storing non-transitory computer-readable instructions that when executed by the one or more processors, cause the one or more processors to:

monitor sensor data associated with a home environment;

analyze the sensor data associated with the home environment over a first period of time in order to identify a health condition associated with a resident of the home environment;

identify one or more mitigation techniques for the health condition associated with the resident of the home environment;

provide an indication of the one or more mitigation techniques for the health condition associated with the resident of the home environment, via a user interface; and

analyze the sensor data associated with the home environment over a second period of time, subsequent to providing the indication of the one or more mitigation techniques for the health condition associated with the resident of the home environment via the user interface, in order to determine whether any of the one or more mitigation techniques for the health condition associated with the resident of the home environment were performed over the second period of time.

8 . The computer system of claim 7 , wherein the computer-readable instructions, when executed by the one or more processors, further cause the one or more processors to:

analyze the sensor data associated with the home environment over a third period of time, subsequent to determining that one or more of the mitigation techniques for the health condition associated with the resident of the home environment were performed, in order to identify a change in the health condition associated with the resident of the home environment.

9 . The computer system of claim 7 , wherein monitoring the sensors data associated with the home environment and analyzing the sensor data associated with the home environment includes monitoring operational data associated with the home environment and analyzing the operational data associated with the home environment.

10 . The computer system of claim 7 , wherein the computer-readable instructions, when executed by the one or more processors, further cause the one or more processors to:

generate an alert related to the health condition associated with the resident of the home environment; and

send the alert related to the health condition associated with the resident of the home environment to a medical provider or to a provider of emergency services.

11 . The computer system of claim 7 , wherein analyzing the sensor data associated with the home environment over the first period of time in order to identify the health condition associated with the resident of the home environment includes applying a trained machine learning model to the sensor data associated with the home environment over the first period of time in order to identify the health condition associated with the resident of the home environment.

12 . The computer system of claim 11 , wherein the computer-readable instructions, when executed by the one or more processors, further cause the one or more processors to:

obtain historical sensor data associated with historical home environments over historical periods of time, and historical health conditions associated with residents of the historical home environments over the historical periods of time;

and train a machine learning model to identify new health conditions associated with residents of new home environments over new periods of time based upon new sensor data associated with the new home environments over the new periods of time, based upon the historical sensor data associated with historical home environments over historical periods of time, and historical health conditions associated with residents of the historical home environments over the historical periods of time, resulting in the trained machine learning model.

13 . A computer-readable medium storing non-transitory computer-readable instructions that, when executed by one or more processors, cause the one or more processors to:

monitoring, by one or more processors, sensor data associated with a home environment;

analyzing, by one or more processors, the sensor data associated with the home environment over a first period of time in order to identify a health condition associated with a resident of the home environment;

identifying, by the one or more processors, one or more mitigation techniques for the health condition associated with the resident of the home environment;

providing, by the one or more processors, an indication of the one or more mitigation techniques for the health condition associated with the resident of the home environment, via a user interface;

analyzing, by one or more processors, the sensor data associated with the home environment over a second period of time, subsequent to providing the indication of the one or more mitigation techniques for the health condition associated with the resident of the home environment via the user interface, in order to determine whether any of the one or more mitigation techniques for the health condition associated with the resident of the home environment were performed over the second period of time.

14 . The computer-readable medium of claim 13 , wherein the computer-readable instructions, when executed by the one or more processors, further cause the one or more processors to:

analyze the sensor data associated with the home environment over a third period of time, subsequent to determining that one or more of the mitigation techniques for the health condition associated with the resident of the home environment were performed, in order to identify a change in the health condition associated with the resident of the home environment.

15 . The computer-readable medium of claim 13 , wherein monitoring the sensors data associated with the home environment and analyzing the sensor data associated with the home environment includes monitoring operational data associated with the home environment and analyzing the operational data associated with the home environment.

16 . The computer-readable medium of claim 13 , wherein the computer-readable instructions, when executed by the one or more processors, further cause the one or more processors to:

generate an alert related to the health condition associated with the resident of the home environment; and

send the alert related to the health condition associated with the resident of the home environment to a medical provider or to a provider of emergency services.

17 . The computer-readable medium of claim 13 , wherein analyzing the sensor data associated with the home environment over the first period of time in order to identify the health condition associated with the resident of the home environment includes applying a trained machine learning model to the sensor data associated with the home environment over the first period of time in order to identify the health condition associated with the resident of the home environment.

18 . The computer-readable medium of claim 17 , wherein the computer-readable instructions, when executed by the one or more processors, further cause the one or more processors to:

obtain historical sensor data associated with historical home environments over historical periods of time, and historical health conditions associated with residents of the historical home environments over the historical periods of time;

and train a machine learning model to identify new health conditions associated with residents of new home environments over new periods of time based upon new sensor data associated with the new home environments over the new periods of time, based upon the historical sensor data associated with historical home environments over historical periods of time, and historical health conditions associated with residents of the historical home environments over the historical periods of time, resulting in the trained machine learning model.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 31, 2023
From: BREITWEISER, EDWARD W.; CHAPMAN, CORIN REBEKAH; WONG, GREGORY; FINLEY, ERIC ALLYN; CRAWFORD, JENNIFER L.
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 062551/0402 →