Systems and methods for a configurable device environment
A system for a configurable device environment, the system comprising a computing device configured to receive remote data corresponding to a subject and a plurality of signals from at least a sensor proximate to the subject, retrieve a biometric profile of the subject, identify a pattern of accessory device states for a plurality of accessory devices, wherein identifying includes determining a coordinated state change for a group of accessory devices of the plurality of accessory devices as a function of the remote data and the biometric profile and identifying the pattern of accessory device states as a function of the coordinated state change, determine an automation rule for the group of accessory devices as a function of the pattern of accessory device states, and transmit, to the group of accessory devices, the automation rule.
1. A system for a configurable device environment, the system comprising a computing device, wherein the computing device is configured to:
receive remote data corresponding to a subject, wherein receiving further comprises:
receiving interaction data from a plurality of accessory devices, wherein the interaction data corresponds to an interaction with a subject; and
receiving a plurality of signals from at least a sensor proximate to the subject;
retrieve a biometric profile of the subject as a function of the plurality of signals, wherein retrieving the biometric profile further comprises searching for at least a malady as a function of the interaction data;
identify a pattern of accessory device states for the plurality of accessory devices,
wherein identifying the pattern further comprises:
determining, by the computing device, a coordinated state change for a group of accessory devices of the plurality of accessory devices as a function of the interaction data and the biometric profile; and
identifying the pattern of accessory device states as a function of the coordinated state change;
determine an automation rule for the group of accessory devices as a function of the pattern of accessory device states; and
transmit, to the group of accessory devices, the automation rule.
2. The system of claim 1 , wherein retrieving the biometric profile further comprises receiving subject input via a graphical user interface.
3. The system of claim 1 , wherein retrieving the biometric profile includes generating machine-learning model training data from a plurality of signals.
4. The system of claim 1 , wherein retrieving the biometric profile further comprises:
training a biometric machine-learning model as a function of training data that includes a plurality of entries wherein each entry models sensor signals to physiological data related to biometric state metrics data; and
determining, as a function of the biometric machine-learning model and the plurality of signals, the biometric profile.
5. The system of claim 1 , wherein:
the biometric profile includes environmental parameters associated with the plurality of accessory devices; and
identifying the pattern of accessory device states that should be applied to the group of accessory devices further comprises identifying a pattern of changes in the group of accessory devices, wherein the pattern of changes is from a first state described in the interaction data to a second state related to the optimum environmental parameters.
6. The system of claim 1 , wherein determining an automation rule further comprises:
receiving the coordinated state change for a group of accessory devices of the plurality of accessory devices;
determining, an activation threshold for changing the states of the plurality of accessory devices; and
transmitting the automation rule as a function of the activation threshold.
7. The system of claim 1 , wherein changing the state of the group of accessory devices further comprises:
generating, using the computing device, at least an accessory device token; and
transmitting, using the computing device, the accessory device token to the accessory device.
8. The system of claim 1 , wherein transmitting the automation rule to the accessory device further comprises sending a radio wave signature, wherein the radio wave signature is unique.
9. The system of claim 1 , wherein transmitting the automation rule further comprises controlling the function of the accessory device as a function of the automation rule.
10. A method for a configurable device environment, the method comprising:
receive, by a computing device, remote data corresponding to a subject, wherein
receiving further comprises:
receiving interaction data from a plurality of accessory devices, wherein the interaction data corresponds to an interaction with a subject; and
receiving a plurality of signals from at least a sensor proximate to the subject;
retrieving, by the computing device, a biometric profile of the subject as a function of the plurality of signals, wherein retrieving the biometric profile further comprises searching for at least a malady as a function of the interaction data;
identifying, by the computing device, a pattern of accessory device states for the plurality of accessory devices, wherein identifying the pattern further comprises:
determining, by the computing device, a coordinated state change for a group of accessory devices of the plurality of accessory devices as a function of the interaction data and the biometric profile; and
identifying the pattern of accessory device states as a function of the coordinated state change;
determining, by the computing device, an automation rule for the group of accessory devices as a function of the pattern of accessory device states; and
transmitting, by the computing device, to the group of accessory devices, the automation rule.
11. The method of claim 10 , wherein retrieving the biometric profile further comprises receiving subject input via a graphical user interface.
12. The method of claim 10 , wherein retrieving the biometric profile includes generating machine-learning model training data from a plurality of signals.
13. The method of claim 10 , wherein retrieving the biometric profile further comprises:
training a biometric machine-learning model as a function of training data that includes a plurality of entries wherein each entry models sensor signals to physiological data related to biometric state metrics data; and
determining, as a function of the biometric machine-learning model and the plurality of signals, the biometric profile.
14. The method of claim 10 , wherein:
the biometric profile includes environmental parameters associated with the plurality of accessory devices; and
identifying the pattern of accessory device states that should be applied to the group of accessory devices further comprises identifying a pattern of changes in the group of accessory devices, wherein the pattern of changes is from a first state described in the interaction data to a second state related to the optimum environmental parameters.
15. The method of claim 10 , wherein determining an automation rule further comprises:
receiving the coordinated state change for a group of accessory devices of the plurality of accessory devices;
determining, an activation threshold for changing the states of the plurality of accessory devices; and
transmitting the automation rule as a function of the activation threshold.
16. The method of claim 10 , wherein changing the state of the group of accessory devices further comprises:
generating, using the computing device, at least an accessory device token; and
transmitting, using the computing device, the accessory device token to the accessory device.
17. The method of claim 10 , wherein transmitting the automation rule to the accessory device further comprises sending a radio wave signature, wherein the radio wave signature is unique.
18. The method of claim 10 , wherein transmitting the automation rule further comprises controlling the function of the accessory device as a function of the automation rule.