Abstract:
A device includes an enclosure and logic. The enclosure includes a plurality of capacitive touch sensor arrays disposed at least on two of a top side, a bottom side, a left side, a right side, a front side, and a back side of the device. The enclosure also includes a first display on the front side of the device. The logic receives touch interaction information from the plurality of capacitive touch sensor arrays and initiates an action based at least in part on the touch interaction information.
Abstract:
A device includes an enclosure and logic. The enclosure includes a plurality of capacitive touch sensor arrays disposed at least on two of a top side, a bottom side, a left side, a right side, a front side, and a back side of the device. The enclosure also includes a first display on the front side of the device. The logic receives touch interaction information from the plurality of capacitive touch sensor arrays and initiates an action based at least in part on the touch interaction information.
Abstract:
A device includes an enclosure and logic. The enclosure includes a plurality of capacitive touch sensor arrays disposed at least on two of a top side, a bottom side, a left side, a right side, a front side, and a back side of the device. The enclosure also includes a first display on the front side of the device. The logic receives touch interaction information from the plurality of capacitive touch sensor arrays and initiates an action based at least in part on the touch interaction information.
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:
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:
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:
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:
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:
Various methods and systems for modifying an indicator corresponding to an alert are described herein. One example method includes detecting an alert with a computing device. The method also includes monitoring a noise level in an environment surrounding a computing device. In addition, the method includes modifying the indicator corresponding to the alert based on the noise level. Furthermore, the method includes providing the modified indicator corresponding to the alert.