Techniques for using data collected by wearable devices to control other devices
Methods, systems, and devices for controlling external devices are described. A method may include receiving physiological data associated with a user from a wearable device, and identifying one or more physiological states, physical activities, or both, associated with the user based on the physiological data. Physiological states may include physiological states associated with waking up, falling asleep, anxiety, relaxation, and the like. The method may further include transmitting an instruction to one or more external devices based on the one or more physiological states, physical activities, or both, where the instruction is configured to selectively modify one or more operational parameters associated with the one or more external devices.
1 . A method for controlling external devices based on wearable-based data, comprising:
receiving, at one or more processors of a user device communicatively coupled with a wearable device, baseline physiological data measured from a user throughout a time interval using the wearable device;
receiving, at the one or more processors, an indication of one or more operational parameters of one or more external devices that are configured to control or modify one or more characteristics of an environment of the user;
identifying one or more relationships for selectively modifying the one or more operational parameters of the one or more external devices in accordance with one or more activities of the user;
receiving, at the one or more processors, additional physiological data measured from the user throughout an additional time interval using the wearable device;
identifying a physical activity of the user based at least in part on receiving the additional physiological data measured from the user, wherein the physical activity comprises a workout engaged in by the user during the additional time interval;
identifying one or more characteristics of the workout, the one or more characteristics comprising a type of the workout, a pace of the workout, an intensity of the workout, or any combination thereof;
identifying, at the one or more processors, a modification to the one or more operational parameters of the one or more external devices based at least in part on the one or more relationships and the one or more characteristics of the workout; and
selectively modifying the one or more operational parameters of the one or more external devices in accordance with the modification and based at least in part on the one or more characteristics of the workout, wherein the modification to the one or more operational parameters of the one or more external devices is configured to modify the one or more characteristics of the environment of the user throughout a subsequent time interval subsequent to the workout.
2 . The method of claim 1 , wherein the one or more operational parameters are selectively modified to induce a change in subsequent physiological data based at least in part on the one or more relationships.
3 . The method of claim 1 , wherein the one or more external devices comprise a television, an appliance, a thermostat, a speaker, a humidifier, a light source, an air purifier, or any combination thereof.
4 . The method of claim 1 , wherein the one or more relationships are further based at least in part on a physiological state of the user, wherein the physiological state comprises a physiological state of falling asleep or a physiological state of waking up.
5 . The method of claim 1 , wherein the one or more relationships are further based at least in part on a physiological state of the user, wherein selectively modifying the one or more characteristics of the environment comprises modifying a GPS route associated with the user based at least in part on the physiological state comprising a physiological state of falling asleep.
6 . The method of claim 1 , wherein the one or more relationships are further based at least in part on a physiological state of the user, wherein the physiological state comprises a physiological state of falling asleep, and wherein modifying the one or more operational parameters comprises transitioning one or more external devices into a power savings mode, a silent mode, or both, based at least in part on identifying the physiological state of falling asleep.
7 . A system for controlling external devices based on wearable-based data, comprising:
a wearable device configured to acquire physiological data from a user using one or more light-emitting components and one or more light-receiving components;
a user device communicatively coupled with the wearable device;
one or more external devices communicatively coupled with the user device; and
one or more processors communicatively coupled with at least the user device, the one or more processors configured to:
receive, at the one or more processors of the user device communicatively coupled with the wearable device, baseline physiological data measured from the user throughout a time interval using the wearable device;
receive, at the one or more processors, an indication of one or more operational parameters of the one or more external devices that are configured to control or modify one or more characteristics of an environment of the user;
identify one or more relationships for selectively modifying the one or more operational parameters of the one or more external devices in accordance with one or more activities of the user;
receiving, at the one or more processors, additional physiological data measured from the user throughout an additional time interval using the wearable device;
identify a physical activity of the user based at least in part on receiving the additional physiological data measured from the user, wherein the physical activity comprises a workout engaged in by the user during the additional time interval;
identify one or more characteristics of the workout, the one or more characteristics comprising a type of the workout, a pace of the workout, an intensity of the workout, or any combination thereof;
identify, at the one or more processors, a modification to the one or more operational parameters of the one or more external devices based at least in part on the one or more relationships and the one or more characteristics of the workout; and
selectively modify the one or more operational parameters of the one or more external devices in accordance with the modification and based at least in part on the one or more characteristics of the workout, wherein the modification to the one or more operational parameters of the one or more external devices is configured to modify the one or more characteristics of the environment of the user throughout a subsequent time interval subsequent to the workout.
8 . The system of claim 7 , wherein the one or more operational parameters are selectively modified to induce a change in subsequent physiological data based at least in part on the one or more relationships.
9 . The system of claim 7 , wherein the one or more external devices comprise a television, an appliance, a thermostat, a speaker, a humidifier, a light source, an air purifier, or any combination thereof.
10 . The system of claim 7 , wherein the one or more relationships are further based at least in part on a physiological state of the user, wherein the physiological state comprises a physiological state of falling asleep or a physiological state of waking up.
11 . The system of claim 7 , wherein the one or more relationships are further based at least in part on a physiological state of the user, wherein selectively modifying the one or more operational parameters comprises modifying a GPS route associated with the user based at least in part on the physiological state comprising a physiological state of falling asleep.
12 . The system of claim 7 , wherein the one or more relationships are further based at least in part on a physiological state of the user, wherein the physiological state comprises a physiological state of falling asleep, and wherein selectively modifying the one or more operational parameters comprises transitioning the one or more external devices into a power savings mode, a silent mode, or both, based at least in part on identifying the physiological state of falling asleep.
13 . A non-transitory computer-readable medium storing code, the code comprising instructions executable by one or more processors to:
receive baseline physiological data measured from a user throughout a time interval using a wearable device;
receive an indication of one or more operational parameters of one or more external devices that are configured to control or modify one or more characteristics of an environment of the user;
identify one or more relationships for selectively modifying the one or more operational parameters of the one or more external devices in accordance with one or more activities of the user;
receiving additional physiological data measured from the user throughout an additional time interval using the wearable device;
identify a physical activity of the user based at least in part on receiving the additional physiological data measured from the user, wherein the physical activity comprises a workout engaged in by the user during the additional time interval;
identify one or more characteristics of the workout, the one or more characteristics comprising a type of the workout, a pace of the workout, an intensity of the workout, or any combination thereof;
identify a modification to the one or more operational parameters of the one or more external devices based at least in part on the one or more relationships and the one or more characteristics of the workout; and
selectively modify the one or more operational parameters of the one or more external devices in accordance with the modification and based at least in part on the one or more characteristics of the workout, wherein the modification to the one or more operational parameters of the one or more external devices is configured to modify the one or more characteristics of the environment of the user throughout a subsequent time interval subsequent to the workout.
14 . The non-transitory computer-readable medium of claim 13 , wherein the one or more relationships are further based at least in part on a physiological state of the user, wherein selectively modifying the one or more characteristics of the environment comprises modifying a GPS route associated with the user based at least in part on the physiological state comprising a physiological state of falling asleep.