Systems and methods for improved assisted or independent living environments
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.
1. A computer-implemented method of detecting periled individuals within an independent or assisted living environment, the independent or assisted living environment populated with a hardware controller in communication with a plurality of sensors, the method comprising:
receiving, by the hardware controller, sensor data from a wearable device removably secured to an individual and located within the independent or assisted living environment, wherein the sensor data indicates a heart rate of the individual;
analyzing, by one or more processors, the sensor data to determine that the heart rate of the individual exceeds a threshold rate;
receiving, by the hardware controller, updated sensor data from the wearable device, wherein the updated sensor data indicates (i) an updated heart rate of the individual, and (ii) a type of room of the independent or assisted living environment in which the individual is located;
analyzing, by the one or more processors, the updated sensor data to determine that the updated heart rate exceeds the threshold rate;
in response to determining that the updated heart rate exceeds the threshold rate, determining, based on the type of room in which the individual is located, that the individual is in peril;
responsive to determining that the individual is in peril, automatically and without user intervention generating a notification indicating that the individual is in peril; and
communicating the notification to an electronic device of an additional individual to facilitate alleviating a risk associated with the individual being in peril.
2. The computer-implemented method of claim 1 , wherein receiving the sensor data comprises:
receiving motion data from the wearable device.
3. The computer-implemented method of claim 2 , wherein analyzing the sensor data comprises:
analyzing the motion data from the wearable device to determine that the individual has experienced a rapid acceleration.
4. The computer-implemented method of claim 1 , wherein the sensor data includes audio data received from a microphone located within a room of the individual, and wherein analyzing the sensor data comprises:
determining, from the audio data, that the individual has suffered a fall.
5. The computer-implemented method of claim 1 , wherein analyzing the sensor data comprises:
accessing baseline sensor data corresponding to the retrieved sensor data; and
comparing the received sensor data to the baseline sensor data.
6. The computer-implemented method of claim 5 , wherein comparing the received sensor data to the baseline sensor data comprises:
determining a level of similarity between the retrieved sensor data and the baseline sensor data, and
determining that the level of similarity meets a threshold value.
7. The computer-implemented method of claim 1 , wherein communicating the notification to the electronic device comprises:
identifying a caregiver for the individual; and
communicating the notification to the electronic device of the caregiver.
8. The computer-implemented method of claim 1 , further comprising:
identifying an insurance-related event associated with the individual being in peril.
9. A hardware controller for detecting periled individuals within an independent or assisted living environment, the hardware controller in communication with a set of sensors populated within the independent or assisted living environment, comprising:
a communication module adapted to interface with the set of sensors populated within the independent or assisted living environment, the set of sensors comprising a wearable device removably secured to an individual and located within the independent or assisted living environment;
a memory adapted to store non-transitory computer executable instructions; and
a processor adapted to interface with the communication module and the memory, wherein the processor is configured to execute the non-transitory computer executable instructions to cause the processor to:
receive, via the communication module, sensor data from the wearable device, wherein the sensor data indicates a heart rate of the individual,
analyze the sensor data to determine that the heart rate of the individual exceeds a threshold rate,
receive updated sensor data from the wearable device, wherein the updated sensor data indicates (i) an updated heart rate of the individual, and (ii) a type of room of the independent or assisted living environment in which the individual is located,
analyze the updated sensor data to determine the updated heart rate exceeds the threshold rate,
in response to determining that the updated heart rate exceeds the threshold rate, determine, based on the type of room in which the individual is located, that the individual is in peril,
responsive to determining that the individual is in peril, automatically and without user intervention generate a notification indicating that the individual is in peril, and
communicate, via the communication module, the notification to an electronic device of an additional individual to facilitate alleviating a risk associated with the individual being in peril.
10. The hardware controller of claim 9 , wherein the sensor data comprises motion data from the wearable device.
11. The hardware controller of claim 10 , wherein to analyze the sensor data, the processor is configured to:
analyze the motion data from the wearable device to determine that the individual has experienced a rapid acceleration.
12. The hardware controller of claim 9 , wherein the sensor data includes audio data received from a microphone located within a room of the individual, and wherein to analyze the sensor data, the processor is configured to:
determine, from the audio data, that the individual has suffered a fall.
13. The hardware controller of claim 9 , wherein to analyze the sensor data, the processor is configured to:
access baseline sensor data corresponding to the retrieved sensor data, and
compare the received sensor data to the baseline sensor data.
14. The hardware controller of claim 13 , wherein to compare the received sensor data to the baseline sensor data, the processor is configured to:
determine a level of similarity between the retrieved sensor data and the baseline sensor data, and
determine that the level of similarity meets a threshold value.
15. The hardware controller of claim 9 , wherein to communicate the notification to the electronic device, the processor is configured to:
identify a caregiver for the individual, and
communicate the notification to the electronic device of the caregiver.
16. The hardware controller of claim 9 , wherein the processor is further configured to:
identify an insurance-related event associated with the individual being in peril.