Abstract: Processing techniques and device configurations for performing and controlling output effects at a plurality of wearable devices are generally described herein. In an example, a processing technique may include receiving, at a computing device, an indication of a triggering gesture that occurs at a first wearable device, determining an output effect corresponding to the indication of the triggering gesture, and in response to determining the output effect, transmitting commands to computing devices that are respectively associated with a plurality of wearable devices, the commands causing the plurality of wearable devices to generate the output effect at the plurality of wearable devices. In further examples, output effects such as haptic feedback, light output, or sound output, may be performed by the plurality of wearable devices, associated computing devices, or other controllable equipment.

Abstract: The present disclosure describes a number of embodiments related to devices, systems, and methods locating a an object using ultra-wide band (UWB) radio transceivers embedded in carpet or other flexible material that may be rolled up and moved to various locations. Once in a location, the carpet may be unrolled and the multiple embedded radio transceivers may receive a signal from a tag attached to the object sending UWB radio signals. Based on the signals received by the UWB radio transceivers, various processes including time-difference on arrival, time-of-flight, and phase shift may be used to determine the location or the movement of the object.

Abstract: Some forms relate to a method of making a stretchable computing system. The method includes attaching a first set of conductive traces to a stretchable member; attaching a first electronic component to the first set of conductive traces; adding a first set of flexible conductors to the stretchable member such that the first set of flexible conductors is electrically connected to the first set of conductive traces; adding stretchable material to the stretchable member such that the first set of conductive traces is surrounded by the stretchable member; forming an opening in the stretchable member that exposes the first set of conductive traces; and attaching a second set of conductive traces to the stretchable member such that the second set of conductive traces fills the opening to form a via in the stretchable member that electrically connects the first set of conductive traces with the second set of conductive traces.

Abstract: A system and method for device action and configuration based on user context detection from sensors in peripheral devices are disclosed. A mobile device includes an interface to receive sensor data from a sensor of a wearable peripheral device worn by a user. The mobile device further includes at least one processor to: identify an activity engaged in by the user based on the sensor data, detect a completion of the activity based on the sensor data, and configure the mobile device to generate a notification to the user in response to the detection of the completion of the activity.

Abstract: A portable consumer device, such as a mobile phone or a tablet computer, may be configured to collect measurements data associated with at least one of movement of the portable consumer device or orientation of the portable consumer device, as well as data associated with an external environment of the portable consumer device. The collected data may be evaluated in order to determine motion of the portable consumer device over time and contextual information associated with the portable consumer device. A user activity may be determined based upon the determined motion and the determined contextual information. As desired, the user activity may be evaluated in association with a suitable application scenario, such as a gaming application scenario.

Abstract: Technologies are described herein that allow a user to wake up a computing device operating in a low-power state and for the user to be verified by speaking a single wake phrase. Wake phrase recognition is performed by a low-power engine. In some embodiments, the low-power engine may also perform speaker verification. In other embodiments, the mobile device wakes up after a wake phrase is recognized and a component other than the low-power engine performs speaker verification on a portion of the audio input comprising the wake phrase. More than one wake phrases may be associated with a particular user, and separate users may be associated with different wake phrases. Different wake phrases may cause the device transition from a low-power state to various active states.

Abstract: Detection of gesture data segmentation in mobile devices. An embodiment of a mobile device includes an edge, the edge including at least a first side, and a first touch sensor of one or more touch sensors, the first touch sensor being a side touch sensor to detect contact with the first side of the mobile device. The mobile device further includes one or more motion detection elements to generate motion data representing motion of the mobile device through space over a period of time, a buffer for the storage of the motion data, and a gesture recognition module to interpret the motion data stored in the buffer, wherein the mobile device begins the storage of the motion data in the buffer upon detection of a start of gesture data event, the start of gesture data event including contact with the first touch sensor.

Abstract: Systems and methods may provide for monitoring an input audio signal from an onboard microphone of a mobile device while a host processor of the mobile device is in a standby mode. Additionally, a predetermined audio pattern may be identified in the input audio signal and a device location session may be triggered with respect to the mobile device based on the predetermined audio pattern. In one example, an output audio signal is generated during the device location session.

Abstract: Embodiments of apparatus, packages, computer-implemented methods, systems, devices, and computer-readable media are described herein for a mobile computing device with a primary processing unit configured to operate in a normal mode and a reduced power mode. The mobile computing device may include a secondary processing unit, coupled with the primary processing unit, configured to provide, to a remote computing server, location data of the mobile computing device. The secondary processing unit may be configured to receive, from the remote computing server, one or more POIs contained within a geofence, identified based on the provided location data. The providing and receiving may be performed on behalf of the primary processing unit while the primary processing unit is in the reduced power mode. Operation of the secondary power processing unit may require less power than operation of the primary processing unit in the normal mode.

Abstract: A touchpad system is disclosed herein that includes a touchpad sensor formed from a plurality of flexible materials and is at least partially integrated into host clothing or furniture such that the touchpad sensor is generally obscured from view. The touchpad sensor may be implemented as a resistive or capacitive touchpad, whereby user input is detected and converted into a proportional electrical signal. The touchpad sensor may include N layers of flexible materials configured to conduct electrical energy, and also conform to contours of a host object. At least one layer of the flexible materials may be heat sealed or otherwise adhered to an inner surface of the host object, such as beneath a shirt sleeve. Thus smart clothing/furniture may appear to be “normal” while also providing convenient user-access to a touchpad sensor that can robustly handle a wide variety of user-input to control operation of a remote computing device.

Abstract: Systems and methods may provide for using one or more generic classifiers to generate self-training data based on a first plurality of events associated with a device, and training a personal classifier based on the self-training data. Additionally, the one or more generic classifiers and the personal classifier to may be used to generate validation data based on a second plurality of events associated with the device. In one example, the personal classifier is substituted for the one or more generic classifiers if the validation data indicates that the personal classifier satisfies a confidence condition relative to the one or more generic classifiers.

Abstract: Embodiments of the present disclosure are directed to a culturally relevant wearable device that includes a carbon monoxide detector to detect carbon monoxide, a light emitting diode (LED), a memory for storing data; and a processor. The processor is configured to determine that a carbon monoxide (CO) level detected by the carbon monoxide detector exceeds a threshold level; and activate the LED based on the determination that the CO level detected by the CO detector exceeds the threshold level. The wearable device also includes a culturally relevant ornamental housing, the ornamental housing comprising a housing for the wearable device. The wearable device can also include a speaker to provide audible notifications about CO levels, maternity schedules, vaccination schedules, therapy schedules, and disease management schedules.

Abstract: Processing techniques and device configurations for performing and controlling output effects at a plurality of wearable devices are generally described herein. In an example, a processing technique may include receiving, at a computing device, an indication of a triggering gesture that occurs at a first wearable device, determining an output effect corresponding to the indication of the triggering gesture, and in response to determining the output effect, transmitting commands to computing devices that are respectively associated with a plurality of wearable devices, the commands causing the plurality of wearable devices to generate the output effect at the plurality of wearable devices. In further examples, output effects such as haptic feedback, light output, or sound output, may be performed by the plurality of wearable devices, associated computing devices, or other controllable equipment.

Abstract: Various systems and methods for implementing crowd gesture recognition are described herein. A system for implementing crowd gesture recognition includes an accelerometer; a gyrometer; a gesture detection circuit to: detect an air gesture performed by a user of the system based on data from the accelerometer and gyrometer; and parameterize an intensity of the air gesture; a processor subsystem to determine a transmission frequency band and a transmission strength based on the air gesture and the intensity of the air gesture; and a transducer to transmit a signal on the transmission frequency band with the transmission strength.

Abstract: Particular embodiments described herein provide for a wearable electronic device with a biometric sensor and logic. At least a portion of the logic is implemented in hardware. The logic is configured to receive input data indicative of biometric input and attempt to authenticate the input data based, at least in part, on at least one biometric credential of an authorized user. The logic is configured to establish a wireless connection to a smart device, determine whether the smart device is included in a trust group of one or more smart devices, and send a communication to unlock the smart device when the input data is successfully authenticated and when the trust group includes the smart device.

Abstract: Systems and methods may provide for monitoring an input audio signal from an onboard microphone of a mobile device while a host processor of the mobile device is in a standby mode. Additionally, a predetermined audio pattern may be identified in the input audio signal and a device location session may be triggered with respect to the mobile device based on the predetermined audio pattern. In one example, an output audio signal is generated during the device location session.

Abstract: Particular embodiments described herein provide for a wearable electronic device with a biometric sensor and logic. At least a portion of the logic is implemented in hardware. The logic is configured to receive input data indicative of biometric input and attempt to authenticate the input data based, at least in part, on at least one biometric credential of an authorized user. The logic is configured to establish a wireless connection to a smart device, determine whether the smart device is included in a trust group of one or more smart devices, and send a communication to unlock the smart device when the input data is successfully authenticated and when the trust group includes the smart device.

Abstract: Systems and methods may provide for determining a sound vibration condition of an ambient environment of a wearable device and determining a motion condition of the wearable device. In addition, one or more automated voice operations may be performed based at least in part on the sound vibration condition and the motion condition. In one example, two or more signals corresponding to the sound vibration condition and the motion condition may be combined.

Abstract: Some forms relate to a method of making a stretchable computing system. The method includes attaching a first set of conductive traces to a stretchable member; attaching a first electronic component to the first set of conductive traces; adding a first set of flexible conductors to the stretchable member such that the first set of flexible conductors is electrically connected to the first set of conductive traces; adding stretchable material to the stretchable member such that the first set of conductive traces is surrounded by the stretchable member; forming an opening in the stretchable member that exposes the first set of conductive traces; and attaching a second set of conductive traces to the stretchable member such that the second set of conductive traces fills the opening to form a via in the stretchable member that electrically connects the first set of conductive traces with the second set of conductive traces.

Abstract: Systems and methods may provide for monitoring an input audio signal from an onboard microphone of a mobile device while a host processor of the mobile device is in a standby mode. Additionally, a predetermined audio pattern may be identified in the input audio signal and a device location session may be triggered with respect to the mobile device based on the predetermined audio pattern. In one example, an output audio signal is generated during the device location session.