A wearable computing device (e.g., a smart watch), referred herein as a “wearable device” or “device,” is described that utilizes contextual signals to predict when to toggle between a power savings mode (e.g., “Sleep Mode”), where one or more lower power processors control functionality of the device, and a higher power mode, where one or more higher power processors control functionality of the device. The wearable device may predict, based on contextual signals, when the user may not require full functionality of the wearable device and switches to the power savings mode. For example, the user may not require full functionality of the wearable device when the user is asleep, exercising, or when the device is on “Do Not Disturb” mode. The wearable device may also predict, based on contextual signals, when the user may require full functionality and may switch from a lower power mode, such as the power savings mode, to a higher power mode in advance of the predicted time or may prevent the wearable device from switching into the power savings mode from the regular power mode. The contextual signals may include state of the user, movement patterns, and context information such as location, time, user behavior history, device configuration information, calendar events, or other relevant data.
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Lider, Brett and Kilburn, Bjorn, "SMART WATCH POWER SAVING PREDICTION BASED ON CONTEXTUAL SIGNALS", Technical Disclosure Commons, (August 11, 2020)