Abstract: The present disclosure describes systems and methods associated with selective powering of an electronic display in response to sensed data indicating that the electronic display is not visible. By selectively enabling the electronic display between power states based on whether the electronic display is visible, a perceivably always-on electronic display may be provided without the electronic display being always-on, thereby balancing consumer interests with technical requirements of a relatively long battery life and correspondingly low power consumption.

Abstract: The present disclosure describes systems and methods associated with selective powering of an electronic display in response to operating conditions, additional data, and/or predicting that the electronic display is not going to be viewed or visible. By selectively enabling the electronic display between power states based on a prediction of when a viewer is expected to view the electronic display, a perceivably always-on electronic display may be provided without the electronic display being always-on, thereby balancing consumer interests with technical requirements of a relatively long battery life and correspondingly low power consumption.

Abstract: Ranging between a primary electronic device and a secondary electronic device can be used to control functional states for the electronic devices. One or more functions of a primary electronic device can be controlled based on the location of a secondary electronic device. The secondary electronic device can be a mobile device or a wearable computer, and the secondary device's location can be a proxy for a user's position. The functions, that are enabled or disabled, can be functions that are related to the user's use and enjoyment of the primary device.

Abstract: Techniques may include ranging between a mobile device and a ranging device to obtain ranging measurements. In addition, the techniques may include performing inertial measurements, where the inertial measurements include directional measurements of movement of the mobile device. One or more of the ranging measurements or inertial measurements may be used to identify dwell points where the mobile device is stationary. Moreover, the techniques may include determining vectors of movement between the dwell points using inertial measurements. Also, the techniques may include determining a first and second distance from the ranging device by performing a first and second ranging measurement with the ranging device. Further, the techniques may include determining a direction of movement using inertial measurements. The techniques may include determining the mobile device is at the second dwell point by matching the first direction of movement to a vector of movement between the dwell points.

Abstract: A method is provided that includes reading a raw temperature value from a temperature sensor mounted in an electronic device and determining an amount of power applied to the electronic device. The method further includes generating, using a trained model, an ambient temperature value based on the raw temperature value and the determined amount of power, wherein the ambient temperature value represents a temperature outside of the electronic device.

Abstract: Embodiments are provided to recognize features and activities from an audio signal. In one embodiment, a model is generated from sound effect data, which is augmented and projected into an audio domain to form a training dataset efficiently. Sound effect data is data that has been artificially created or from enhanced sounds or sound processes to provide a more accurate baseline of sound data than traditional training data. The sound effect data is augmented to create multiple variants to broaden the sound effect data. The augmented sound effects are projected into various audio domains, such as indoor, outdoor, urban, based on mixing background sounds consistent with these audio domains. The model is installed on any computing device, such as a laptop, smartphone, or other device. Features and activities from an audio signal are then recognized by the computing device based on the model without the need for in-situ training.

Abstract: Systems and processes for user identification using headphones associated with a first device are provided. For example, first movement information corresponding to movement of a second electronic device is detected. Second movement information corresponding to movement of a third electronic device is detected. A similarity score is determined based on the first movement information and the second movement information. In accordance with a determination that the similarity score is above a threshold similarity score, a user is identified as an authorized user of the first electronic device and the second electronic device. Based on the identification, an output is provided to the second electronic device.

Abstract: Systems and processes for user identification using headphones associated with a first device are provided. For example, first movement information corresponding to movement of a second electronic device is detected. Second movement information corresponding to movement of a third electronic device is detected. A similarity score is determined based on the first movement information and the second movement information. In accordance with a determination that the similarity score is above a threshold similarity score, a user is identified as an authorized user of the first electronic device and the second electronic device. Based on the identification, an output is provided to the second electronic device.

Abstract: An efficient fabrication technique, including an optional design step, is used to create highly customizable wearable electronics. The method of fabrication utilizes rapid laser machining and adhesion-controlled soft materials. The method produces well-aligned, multi-layered materials created from 2D and 3D elements that stretch and bend while seamlessly integrating with rigid components such as microchip integrated circuits (IC), discrete electrical components, and interconnects. The design step can be used to create a 3D device that conforms to different-shaped body parts. These techniques are applied using commercially available materials. These methods enable custom wearable electronics while offering versatility in design and functionality for a variety of bio-monitoring applications.

Abstract: Systems and techniques for facilitating hand activity sensing are presented. In one example, a system obtains, from a wrist-worn computational device, hand activity data associated with a sustained series of hand motor actions in performance of a human task. The system also employs a machine learning technique to determine classification data indicative of a classification for the human task.

Abstract: Systems and processes for user identification using headphones associated with a first device are provided. For example, first movement information corresponding to movement of a second electronic device is detected. Second movement information corresponding to movement of a third electronic device is detected. A similarity score is determined based on the first movement information and the second movement information. In accordance with a determination that the similarity score is above a threshold similarity score, a user is identified as an authorized user of the first electronic device and the second electronic device. Based on the identification, an output is provided to the second electronic device.

Abstract: Individual health related events (e.g., handwashing events) can be detected based on multiple sensors including motion and audio sensors. Detecting a qualifying handwashing event can include detecting a qualifying scrubbing event based on motion data (e.g., accelerometer data) and a qualifying rinsing event based on audio data. In some examples, power consumption can be reduced by implementing one or more power saving mitigations.

Abstract: Individual health related events (e.g., handwashing events) can be detected based on multiple sensors including motion and audio sensors. Detecting a qualifying handwashing event can include detecting a qualifying scrubbing event based on motion data (e.g., accelerometer data) and a qualifying rinsing event based on audio data. In some examples, power consumption can be reduced by implementing one or more power saving mitigations.

Abstract: Internet of Things (“IoT”) appliances are gaining consumer traction, from smart thermostats to smart speakers. These devices generally have limited user interfaces, most often small buttons and touchscreens, or rely on voice control. Further, these devices know little about their surroundings—unaware of objects, people and activities around them. Consequently, interactions with these “smart” devices can be cumbersome and limited. The present invention presents an approach that enriches IoT experiences with rich touch and object sensing, offering a complementary input channel and increased contextual awareness. The present invention incorporates a range sensing technology into the computing devices, providing an expansive ad hoc plane of sensing just above the surface with which a device is associated. Additionally, the present invention can recognize and track a wide array of objects, including finger touches and hand gestures.

Abstract: A method is provided that includes receiving an accelerometer signal from an accelerometer in a headphone configured to be mounted in a user's ear canal and filtering the accelerometer signal to extract a cardiac signal. The method further includes detecting a plurality of peaks in the cardiac signal and determining a cardiac rate of the user based on the detected plurality of peaks.

Abstract: Individual health related events (e.g., handwashing events) can be detected based on multiple sensors including motion and audio sensors. Detecting a qualifying handwashing event can include detecting a qualifying scrubbing event based on motion data (e.g., accelerometer data) and a qualifying rinsing event based on audio data. In some examples, power consumption can be reduced by implementing one or more power saving mitigations.

Abstract: Systems and processes for user identification using headphones associated with a first device are provided. For example, first movement information corresponding to movement of a second electronic device is detected. Second movement information corresponding to movement of a third electronic device is detected. A similarity score is determined based on the first movement information and the second movement information. In accordance with a determination that the similarity score is above a threshold similarity score, a user is identified as an authorized user of the first electronic device and the second electronic device. Based on the identification, an output is provided to the second electronic device.

Abstract: Systems and processes for user identification using headphones associated with a first device are provided. For example, first movement information corresponding to movement of a second electronic device is detected. Second movement information corresponding to movement of a third electronic device is detected. A similarity score is determined based on the first movement information and the second movement information. In accordance with a determination that the similarity score is above a threshold similarity score, a user is identified as an authorized user of the first electronic device and the second electronic device. Based on the identification, an output is provided to the second electronic device.

Abstract: Enclosed are embodiments for diagnosis and monitoring of bruxism using earbud motion sensors. In an embodiment, a method comprises: receiving, with at least one processor, a signal derived from a motion sensor in an earbud, wherein the signal is captured while the earbud is inserted in an ear of a user; segmenting, with the at least one processor, the signal into segments; extracting, with the at least one processor, features from the segments; classifying, with the at least one processor, the features; and determining, with the at least one processor, that orofacial activity is predicted based on the classifying.

Abstract: Systems and processes for user identification using headphones associated with a first device are provided. For example, first movement information corresponding to movement of a second electronic device is detected. Second movement information corresponding to movement of a third electronic device is detected. A similarity score is determined based on the first movement information and the second movement information. In accordance with a determination that the similarity score is above a threshold similarity score, a user is identified as an authorized user of the first electronic device and the second electronic device. Based on the identification, an output is provided to the second electronic device.