Predictively controlling operational states of wearable device and related methods and systems
AssigneeCaeden, Inc.
InventorsSkip Thomas Orvis, Nora Elam Levinson, Jamal Eddine Mouline
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Abstract
A method for predictively controlling an operational state of a wearable device, according to one embodiment, includes collecting historical sensor data acquired by one or more sensors of a wearable device. The historical sensor data is analyzed for detecting a pattern therein. A time to change an operational state of the wearable device is predicted based on the analysis. The change of the operational state is instructed at the predicted time.
Claims15
A method for predictively controlling an operational state of a wearable device, the method comprising:
- collecting historical sensor data acquired by one or more sensors of a wearable device;
- in response to a determination that at least some of the historical sensor data is inaccurate, correcting the inaccurate historical sensor data, wherein the inaccurate historical sensor data is corrected using predefined spectral analysis algorithms,
- analyzing the historical sensor data for detecting a pattern therein, wherein the analyzed historical sensor data includes only accurate historical sensor data and/or corrected historical sensor data;
- and
- instructing change of the operational state at a time that is determined based on the detected pattern.
A computer program product for predictively controlling an operational state of a wearable device, the computer program product comprising a nontransitory computer readable medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to:
- collect historical heartrate sensor data acquired by one or more sensors of a wearable device;
- analyze the historical heartrate sensor data for detecting a pattern therein;
- in response to detecting a pattern, predict a time to change an operational state of the wearable device based on the detected pattern,
- wherein the pattern is based on the collected historical heartrate sensor data having a predefined degree of similarity with previously analyzed historical heartrate sensor data,
- wherein the predicted time to change the operational state of the wearable device is based on both timestamp information of the collected historical heartrate sensor data and timestamp information of the previously analyzed historical heartrate sensor data;
- and
- instruct change of the operational state at the predicted time.
A system, comprising:
- a processor;
- and
- logic integrated with the processor, executable by the processor, or integrated with and executable by the processor, the logic being configured to:
- collect historical sensor data acquired by one or more sensors of a wearable device;
- in response to a determination that at least some of the historical sensor data is inaccurate, instructing the device to acquire resonance breathing sensor data;
- collecting the resonance breathing sensor data;
- analyze the historical sensor data and the resonance breathing sensor data for detecting a pattern therein;
- and
- instruct change of an operational state of the wearable device at a time that is determined based on the detected pattern.
Dependencies are inferred from the claim text.