Abstract:
Wearable electronic device technology is disclosed. In an example, a wearable electronic device can include a handling portion that facilitates donning the wearable electronic device on a user. The wearable electronic device can also include a user authentication sensor associated with the handling portion and configured to sense a biometric characteristic of the user while the user is donning the wearable electronic device. In addition, the wearable electronic device can include a security module to determine whether the sensed biometric characteristic indicates an authorized user of the wearable electronic 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:
Methods and systems to display, in real time, detailed attribute information regarding a calling party. This information may be presented to a user in conjunction with an incoming voice-call or message on the user's smartphone/mobile internet device (MID) or other mobile device. Such information can help him/her in real-time to decide whether to respond to the communication. Attribute information is collected at a caller attributes processing server and communicated to a receiver device of the called party.
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:
Various systems and methods for locking computing devices are described herein. In an example, a portable device comprises an electro-mechanical lock; and a firmware module coupled to the electro-mechanical lock, the firmware module configured to: receive an unlock code; validate the unlock code; and unlock the electro-mechanical lock when the unlock code is validated. In another example, device for managing BIOS authentication, the device comprising an NEC module, the NEC module comprising an NEC antenna; and a firmware module, wherein the firmware module is configured to: receive an unlock code from an NEC device via the NEC antenna; validate the unlock code; and unlock a BIOS of the device when the unlock code is validated.
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:
Apparatus, computer-readable storage medium, and method associated with speech recognition are described. In embodiments, a mobile phone may include a processor; and a speech recognition module coupled with the processor. The voice recognition module may be configured to recognize one or more voice commands and may include first echo cancellation logic and second echo cancellation logic to be selectively employed during recognition of voice commands. Employment of the first and second echo cancellation logic respectively may cause the mobile phone to variably consume a first and second amount of energy, with the second amount of energy being less than the first amount energy.
Abstract:
Various embodiments are generally directed to an apparatus, method and other techniques for detecting, by one or more sensor components, at least one sensor input, and executing, by logic, at least one instruction to cause an event on a wearable wireless device, the event comprising at least one of a change in a physical parameter on the wearable wireless device and a wireless communication with a computing device via a transceiver.
Abstract:
A system is described to facilitate breathing management. The system includes a plurality of wearable sensors, and one or more processors to access a breathing pattern of a wearer of the plurality of wearable sensors based on at least a portion of data from one or more of the plurality of sensors, determine a body movement of the wearer based on at least a portion of the data from one or more of the plurality of sensors, access a heart rate of the wearer based on at least a portion of the data from one or more of the plurality of sensors, and identify a recovery time for the wearer based on the breathing pattern, the body movement, and the heart rate.