Techniques for using data collected by wearable devices to control other devices
Inventors
Singleton, Robert Alexander • Kent, Steve • Erkkilä, Mika • Koskimäki, Heli Tuulia • Chapp, Michael
Assignees
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Publication Number
US-12558037-B2
Publication Date
2026-02-24
Expiration Date
Abstract
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.
Core Innovation
The disclosure describes controlling external devices based on wearable-based physiological data. A user device receives baseline physiological data measured from a user throughout a time interval using a wearable device, and receives an indication of operational parameters of one or more external devices configured to control or modify one or more characteristics of an environment of the user. The system identifies one or more relationships for selectively modifying the operational parameters of the external devices in accordance with one or more activities of the user.
After receiving additional physiological data measured from the user throughout an additional time interval using the wearable device, the system identifies a physical activity of the user. The physical activity comprises a workout engaged in by the user during the additional time interval, and the system identifies one or more characteristics of the workout, including a type of the workout, a pace of the workout, an intensity of the workout, or any combination thereof. The system identifies a modification to the operational parameters of the external devices based at least in part on the relationships and the characteristics of the workout.
The disclosure further describes selectively modifying the operational parameters of the external devices in accordance with the modification. The modification is configured to modify the characteristics of the environment of the user throughout a subsequent time interval subsequent to the workout. In example relationships, the relationships are based on the user physiological state, including whether the user is falling asleep or waking up, and the environment characteristics can be modified by transitioning external devices into power savings mode and/or silent mode or by modifying a GPS route associated with the user.
Claims Coverage
The partial document contains three independent claims (method, system, and non-transitory computer-readable medium). Across these independent claims, the main inventive features are: receiving baseline and additional wearable physiological data; identifying relationships between user activities/physiological state and external-device operational parameters; identifying a workout and workout characteristics; determining a modification to operational parameters; and selectively modifying operational parameters to change environmental characteristics during a subsequent time interval after the workout.
Wearable baseline data for relationship mapping
Receiving baseline physiological data measured from a user throughout a time interval using the wearable device; receiving an indication of operational parameters of one or more external devices configured to control or modify one or more characteristics of an environment of the user; and 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.
Workout identification from additional wearable data
Receiving 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, wherein the physical activity comprises a workout engaged in by the user during the additional time interval; and 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.
Selectively modifying device operational parameters after workout
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.
Wearable-based device and coupled external-device system architecture
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 perform the receipt of baseline physiological data, the identification of relationships, the receipt of additional physiological data, the identification of workout and workout characteristics, and the selective modification of operational parameters to modify the environment during a subsequent time interval after the workout.
Non-transitory computer-readable medium with wearable data control instructions
A non-transitory computer-readable medium storing code, the code comprising instructions executable by one or more processors to receive baseline physiological data; receive an indication of operational parameters; identify relationships; receive additional physiological data; identify a workout and workout characteristics; identify a modification to operational parameters; and selectively modify the operational parameters configured to modify one or more characteristics of the environment during a subsequent time interval after the workout.
Across the independent claims, coverage centers on using wearable physiological data to identify user activities (including workouts) and workout characteristics, map those to relationships that selectively determine modifications to external-device operational parameters, and apply the modifications to change environmental characteristics during a subsequent time interval after the workout. Example dependent refinements further tie relationships to physiological state (falling asleep vs waking up) and specify environment modifications including transitioning devices into power savings mode and/or silent mode and modifying a GPS route.
Stated Advantages
Documented Applications
Controlling external devices to modify characteristics of the user environment based on identified activities and workout characteristics, including modifying the environment throughout a subsequent time interval after the workout.
Environment modification based on physiological state, including modifying the environment by transitioning one or more external devices into a power savings mode and/or a silent mode based on identifying that the physiological state comprises falling asleep.
Environment modification based on physiological state by selectively modifying a GPS route associated with the user based at least in part on the physiological state of falling asleep.
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