Thoughtful elderly monitoring in a smart home environment
First Claim
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1. A method for monitoring a resident, the method comprising:
- performing a confidence assessment based on a plurality of smart home devices being present within a residence linked with a user account, wherein the resident resides at the residence and performing the confidence assessment comprises;
calculating a confidence metric based on;
a number of the plurality of smart home devices that are eligible to participate in monitoring the resident;
a second number of the plurality of smart home devices that are eligible to participate in the monitoring and are power constrained; and
responses to a questionnaire received from an administrator device; and
comparing the calculated confidence metric to a confidence metric threshold;
determining whether the residence is eligible for monitoring of the resident based on the confidence assessment;
performing a learning process over a period of time during which resident activity data is collected from the plurality of smart home devices and analyzed to create an ordinary behavior model;
following determining that the residence is eligible for monitoring of the resident and the learning process being performed, providing a notification that monitoring is active;
monitoring data received from the plurality of smart home devices to identify data indicative of behavior considered unusual based on the ordinary behavior model;
creating an alert that identifies the behavior and identifies how the behavior contrasts with the ordinary behavior model; and
sending, to the administrator device linked with the user account, the alert that identifies the behavior and identifies how the behavior contrasts with the ordinary behavior model.
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Abstract
Various arrangements are presented for monitoring a resident of a residence. A confidence assessment may be performed based on a plurality of smart home devices in the residence. The residence may be identified as eligible for monitoring of the resident based on the confidence assessment. A learning process may be performed to create an ordinary behavior model. Data that is received from the plurality of smart home devices may be monitored to identify data indicative of behavior considered unusual based on the ordinary behavior model. An alert may be created that identifies the behavior and identifies how the behavior contrasts with the ordinary behavior model.
19 Citations
24 Claims
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1. A method for monitoring a resident, the method comprising:
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performing a confidence assessment based on a plurality of smart home devices being present within a residence linked with a user account, wherein the resident resides at the residence and performing the confidence assessment comprises; calculating a confidence metric based on;
a number of the plurality of smart home devices that are eligible to participate in monitoring the resident;
a second number of the plurality of smart home devices that are eligible to participate in the monitoring and are power constrained; and
responses to a questionnaire received from an administrator device; andcomparing the calculated confidence metric to a confidence metric threshold; determining whether the residence is eligible for monitoring of the resident based on the confidence assessment; performing a learning process over a period of time during which resident activity data is collected from the plurality of smart home devices and analyzed to create an ordinary behavior model; following determining that the residence is eligible for monitoring of the resident and the learning process being performed, providing a notification that monitoring is active; monitoring data received from the plurality of smart home devices to identify data indicative of behavior considered unusual based on the ordinary behavior model; creating an alert that identifies the behavior and identifies how the behavior contrasts with the ordinary behavior model; and sending, to the administrator device linked with the user account, the alert that identifies the behavior and identifies how the behavior contrasts with the ordinary behavior model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for monitoring a resident, the method comprising:
performing a confidence assessment based on a plurality of smart home devices being present within a residence linked with a user account, wherein the resident resides at the residence and the confidence assessment comprises; monitoring the resident using the plurality of smart home devices over a trial period of time to generate a body of trial monitoring data, the trial period of time being sufficient to encompass at least a plurality of daily- and/or day-of-week-specific activity routines of the resident; processing the trial monitoring data to determine whether the plurality of smart home devices are sufficient in type, number, and location to sufficiently track the resident through their daily- and/or day-of-week-specific activity routines according to a predetermined threshold criterion; determining that the plurality of smart home devices are not sufficient in at least one of type, number, and location to sufficiently track the resident according to the predetermined threshold criterion; and responsive to said determining, sending to an administrator device a notification that the residence is not eligible for said monitoring of the resident. - View Dependent Claims (11, 12, 13, 14, 15)
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16. A system for monitoring a resident, the system comprising:
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a plurality of smart home devices installed within a residence linked with a user account; an application executed by an administrator device; and a cloud-based host system comprising; one or more processors; and a memory communicatively coupled with and readable by the one or more processors and having stored therein processor-readable instructions which, when executed by the one or more processors, cause the one or more processors to; perform a confidence assessment based on the plurality of smart home devices being present within the residence linked with the user account, wherein the resident resides at the residence and performing the confidence assessment comprises; calculating a confidence metric based on;
a number of the plurality of smart home devices that are eligible to participate in monitoring the resident, and responses to a questionnaire received from the applicationcomparing the calculated confidence metric to a confidence metric threshold; determine whether the residence is eligible for monitoring of the resident based on the confidence assessment; perform a learning process over a period of time during which resident activity data is collected from the plurality of smart home devices and analyzed to create an ordinary behavior model; following, determining that the residence is eligible for monitoring of the resident and the learning process being performed, provide a notification that monitoring is active; monitor data received from the plurality of smart home devices to identify data indicative of behavior considered unusual based on the ordinary behavior model; create an alert that identifies the behavior and identifies how the behavior contrasts with the ordinary behavior model; and send, to the administrator device linked with the user account, the alert that identifies the behavior and identifies how the behavior contrasts with the ordinary behavior model. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23)
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24. A non-transitory processor-readable medium comprising processor-readable instructions configured to cause one or more processors to:
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perform a confidence assessment based on a plurality of smart home devices being present within a residence linked with a user account, wherein a resident resides at the residence and performing the confidence assessment comprises; calculating a confidence metric based on;
a number of the plurality of smart home devices that are eligible to participate in monitoring the resident;
a second number of the plurality of smart home devices that are eligible to participate in the monitoring and are power constrained; and
responses to a questionnaire received from an administrator device; andcomparing the calculated confidence metric to a confidence metric threshold; determine Whether the residence is eligible for monitoring of the resident based on the confidence assessment; perform a learning process over a period of time during, which resident activity data is collected from the plurality of smart home devices and analyzed to create an ordinary behavior model; following determining that the residence is eligible for monitoring of the resident and the learning process being performed, provide a notification that monitoring is active; monitor data received from the plurality of smart home devices to identify data indicative of behavior considered unusual based on the ordinary behavior model; create an alert that identifies the behavior and identifies how the behavior contrasts with the ordinary behavior model; and cause to be sent, to the administrator device linked with the user account, the alert that identifies the behavior and identifies how the behavior contrasts with the ordinary behavior model.
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Specification