Abstract: Disclosed are methods and devices for varying functionality of a wearable computing device. An example device includes a first sensor and a second sensor. An example method includes, while a device is operating in a first state, receiving an indication of a touch input at the first sensor. The second sensor is configured in an idle mode based on the device operating in the first state. The method further includes, in response to receiving the indication of the touch input, triggering the second sensor to operate in an active mode and receiving data from the second sensor. The method further includes determining, based on the data, whether the device is being worn.

Abstract: Attenuation of a wireless signal, particularly a short range wireless pairing signal, is accommodated immediately and automatically by a device in response to detection of presence of an object. When a user provides input to the device, such as by touching the device with a finger, presence of the finger may interfere with a signal emitted from the device. To accommodate for such interference, the device may immediately increase its transmission power upon detection of the finger, without waiting for link quality measurements.

Abstract: Embodiments in accordance with the present disclosure are directed to configuring an analyzer apparatus for processing a particular sample-processing cartridge. The analyzer apparatus includes a portable container and sample-specific configuration circuitry. The portable container supports and integrates a sample-processing cartridge and the sample-specific configuration circuitry. The sample-specific configuration circuitry identifies configuration information specific to the sample-processing cartridge and configures the analyzer apparatus for a series of state configurations.

Abstract: Attenuation of a wireless signal, particularly a short range wireless pairing signal, is accommodated immediately and automatically by a device in response to detection of presence of an object. When a user provides input to the device, such as by touching the device with a finger, presence of the finger may interfere with a signal emitted from the device. To accommodate for such interference, the device may immediately increase its transmission power upon detection of the finger, without waiting for link quality measurements.

Abstract: A medical pet collar has a collar for positioning around a neck of an animal. The collar prevents the animal from biting and licking a body of the animal. A pocket is formed on the collar. The pocket has at least one side that is removably coupled to the collar. The at least one side that is removably coupled to the collar allows for different therapeutic delivery patches to be stored within the pocket. The pocket is configured to provide air transfer capabilities to allow the animal to smell the contents of a therapeutic delivery patch stored within the pocket and to prevent the animal from reaching the therapeutic delivery patch.

Abstract: A sensor cord construction to prevent capacitance variation is described herein. A sensor may be connected to a controller via a cord that includes a first cable and a second cable. The first cable includes first shield wires that are twisted around the first cable in a first direction, and the second cable includes second shield wires that are twisted around the second cable in a second direction that is opposite the first direction. When the cord is twisted, one of the first or second cables may provide a positive capacitance variation, while the other of the first or second cables may provide a negative capacitance variation in an amount that is directly proportional to the positive capacitance variation. Thus, the controller detects a minimum capacitance variation, when the cord is twisted, due to the capacitance variation of the first cable and the second cable canceling each other out.

Abstract: An example system is described that includes a head-mountable device (HMD) with a bone conduction transducer that transmits an audio signal and an inertial measurement unit (IMU) sensor connected to the bone conduction transducer. The IMU sensor detects movement of the HMD due to vibrations of the bone conduction transducer transmitting the audio signal and the IMU sensor provides outputs. The system also includes one or more processors that receive the outputs of the IMU sensor and compare the outputs of the IMU sensor with at least one reference signal. The at least one reference signal is based on the audio signal that is transmitted. The one or more processors output an HMD fitting parameter based on the comparison.

Abstract: Disclosed are methods and devices for varying functionality of a wearable computing device. An example device includes a first sensor and a second sensor. An example method includes, while a device is operating in a first state, receiving an indication of a touch input at the first sensor. The second sensor is configured in an idle mode based on the device operating in the first state. The method further includes, in response to receiving the indication of the touch input, triggering the second sensor to operate in an active mode and receiving data from the second sensor. The method further includes determining, based on the data, whether the device is being worn.

Abstract: A medical pet collar has a collar for positioning around a neck of an animal. The collar prevents the animal from biting and licking a body of the animal. A pocket is formed on the collar. The pocket has at least one side that is removably coupled to the collar. The at least one side that is removably coupled to the collar allows for different therapeutic delivery patches to be stored within the pocket. The pocket is configured to provide air transfer capabilities to allow the animal to smell the contents of a therapeutic delivery patch stored within the pocket and to prevent the animal from reaching the therapeutic delivery patch.

Abstract: Disclosed are methods and devices for varying functionality of a wearable computing device. An example device includes a first sensor and a second sensor. An example method includes, while a device is operating in a first state, receiving an indication of a touch input at the first sensor. The second sensor is configured in an idle mode based on the device operating in the first state. The method further includes, in response to receiving the indication of the touch input, triggering the second sensor to operate in an active mode and receiving data from the second sensor. The method further includes determining, based on the data, whether the device is being worn.

Abstract: Examples of methods and systems for providing calibration for eye gesture recognition are described. In some examples, calibration can be executed via a head-mountable device. A method for calibration of a system may account for changes in orientation of the head-mountable device, update recognition of the eye gestures, or increase efficiency of the system, for example. The head-mountable device may be configured to receive signals indicative of eye gestures from an eye gesture-detection system and in response to receiving a second command confirming that the signal is indicative of an eye gesture command, to make adjustments to the eye gesture recognition system and/or the reference signals. The head-mountable device may calibrate an eye gesture recognition system via implicit or explicit calibration, for example.

Abstract: Disclosed are methods and devices for varying functionality of a wearable computing device. An example device includes a first sensor and a second sensor. An example method includes, while a device is operating in a first state, receiving an indication of a touch input at the first sensor. The second sensor is configured in an idle mode based on the device operating in the first state. The method further includes, in response to receiving the indication of the touch input, triggering the second sensor to operate in an active mode and receiving data from the second sensor. The method further includes determining, based on the data, whether the device is being worn.

Abstract: The present disclosure provides a computing device including an image-capture device and a control system. The control system may be configured to receive sensor data from one or more sensors, and analyze the sensor data to detect at least one image-capture signal. The control system may also be configured to cause the image-capture device to capture an image in response to detection of the at least one image-capture signal. The control system may also be configured to enable one or more speech commands relating to the image-capture device in response to capturing the image. The control system may also be configured to receive one or more verbal inputs corresponding to the one or more enabled speech commands. The control system may also be configured to perform an image-capture function corresponding to the one or more verbal inputs.

Abstract: Disclosed are methods and devices for varying functionality of a wearable computing device. An example device includes a first sensor and a second sensor. An example method includes, while a device is operating in a first state, receiving an indication of a touch input at the first sensor. The second sensor is configured in an idle mode based on the device operating in the first state. The method further includes, in response to receiving the indication of the touch input, triggering the second sensor to operate in an active mode and receiving data from the second sensor. The method further includes determining, based on the data, whether the device is being worn.

Abstract: This disclosure relates to example implementations for side-mounted optical sensors for eye gestures on a head mountable display. An example wearable computing device may include a wearable frame structure that includes a front portion and at least one side arm. In some instances, ends of the side arms may couple and extend away from the front portion at a coupling point. Additionally, the example device may include optical elements coupled to the front portion and may further include one or more sensors arranged on an inner surface of a side arm proximal to the coupling point. The sensors may be oriented to receive sensor data from at least one eye region when the wearable computing device is worn.

Abstract: This disclosure relates to winking to capture image data using an image capture device that is associated with a head-mountable device (HMD). An illustrative method includes detecting a wink gesture at an HMD. The method also includes causing an image capture device to capture image data, in response to detecting the wink gesture at the HMD.

Abstract: According to one embodiment, the visual signature of a moving target may be measured by measuring, using a photometer, an optical property of a moving target while the target moves along a path from a start position to an end position in front of a background. The photometer may be repositioned to measure optical properties of the background at the start position. The photometer may measure the optical property of the background along the path between the start position and the end position. The visual signature of the moving target may be determined by comparing the measured optical property of the moving target along the path to the measured optical property of the background along the path.

Abstract: Examples of methods and systems for using eye gesture duration to provide calibration for eye gesture detection are described. In some examples, calibration can be executed using a head-mountable device. The head-mountable device may be configured to determine a duration range indicative of an eye gesture and receive a plurality of reference signals indicative of the eye gesture. The plurality of reference signals may comprise duration information indicative of a plurality of reference durations of the eye gesture. The head-mountable device may determine, based on the plurality of reference durations, a reference duration range associated with the eye gesture that is within the duration range, and adjust the duration range for the eye gesture based on the reference duration range.

Abstract: This disclosure relates to winking to capture image data using an image capture device that is associated with a head-mountable device (HMD). An illustrative method includes detecting a wink gesture at an HMD. The method also includes causing an image capture device to capture image data, in response to detecting the wink gesture at the HMD.

Abstract: Methods, apparatus, and computer-readable media are described herein related to recognizing a look up gesture. Level-indication data from at least an accelerometer associated with a wearable computing device (WCD) can be received. The WCD can be worn by a wearer. The WCD can determine whether a head of the wearer is level based on the level-indication data. In response to determining that the head of the wearer is level, the WCD can receive lookup-indication data from at least the accelerometer. The WCD can determine whether the head of the wearer is tilted up based on the lookup-indication data. In response to determining that the head of the wearer is tilted up, the WCD can generate a gesture-recognition trigger, where the gesture-recognition trigger indicates that the head of the wearer has moved up from level.