Abstract: A wearable sensor system is disclosed that provides a measurable magnetic field that changes horizontally within the range of motion of human limbs. The wearable sensor system includes a magnetic sensing device, and one or more magnet devices that provide the measurable magnetic field with a strength exceeding the Earth's magnetic field. To this end, the magnetic sensing system provides a “personal” magnetic field about a user, with that magnetic field traveling with the user and overpowering adjacent interfering fields. The wearable sensor system may include a sensor arrangement that measures a strength of the personal magnetic field and field direction to perform horizontal localization, and may send a representation of a same to a remote computing device to cause an action to occur. Some such actions include output of pre-recorded or synthesized musical notes, for example.

Abstract: Embodiments include a wearable device, such as a head-worn device. The wearable device includes a first microphone to receive a first sound signal from a wearer of the wearable device; a second microphone to receive a second sound signal from the wearer of the wearable device; and a processor to process the first sound signals and the second sound signals to determine that the first and second sound signals originate from the wearer of the wearable device.

Abstract: Gesture-controlled virtual reality systems and methods of controlling the same are disclosed herein. An example apparatus includes at least two of an on-body sensor, an off-body sensor, and an RF local triangulation system to detect at least one of a position or a movement of a body part of a user relative to a virtual instrument. The example apparatus includes a processor to generate an audio output of the virtual instrument in response to the at least one of the position or the movement.

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: 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: 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: Embodiments include a wearable device, such as a head-worn device. The wearable device includes a first microphone to receive a first sound signal from a wearer of the wearable device; a second microphone to receive a second sound signal from the wearer of the wearable device; and a processor to process the first sound signals and the second sound signals to determine that the first and second sound signals originate from the wearer of the wearable device.

Abstract: A mechanism is described for facilitating smart placement of devices for implicit triggering of feedbacks relating to users' physical activities according to one embodiment. A method of embodiments, as described herein, includes detecting scanning, in real-time, of a body of a user during one or more physical activities being by the user, where scanning is performed by one or more sensors placed in one or more items located within proximity of the user. The method may further include receiving data from the one or more sensors, where the data includes biometric data relating to the user. The method may further include forming a feedback based on processing of the biometric data, and communicating, in real-time, the feedback using an object or one or more feedback devices.

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: A wearable sensor system is disclosed that provides a measurable magnetic field that changes horizontally within the range of motion of human limbs. The wearable sensor system includes a magnetic sensing device, and one or more magnet devices that provide the measurable magnetic field with a strength exceeding the Earth's magnetic field. To this end, the magnetic sensing system provides a “personal” magnetic field about a user, with that magnetic field traveling with the user and overpowering adjacent interfering fields. The wearable sensor system may include a sensor arrangement that measures a strength of the personal magnetic field and field direction to perform horizontal localization, and may send a representation of a same to a remote computing device to cause an action to occur. Some such actions include output of pre-recorded or synthesized musical notes, for example.

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: 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: In one example a controller comprises logic, at least partially including hardware logic, configured to detect a key phrase in a received audio signal, and in response to the key phrase, to transmit a signal to a personal assistant in a remote electronic device, determine whether an audio input was received, and in response to a determination that additional audio input was received prior to receiving a response from the personal assistant in the remote electronic device, to buffer the audio input in a memory and forward the audio input to the personal assistant in the remote electronic device. Other examples may be described.

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: Generally, this disclosure provides devices, systems and methods for cancelling an interfering audio signal. The system may include a mobile device including a microphone configured to capture an acoustic audio signal, the acoustic audio signal a combination of the interfering audio signal and a desired audio signal, the desired audio signal generated by a user of the mobile device. The system may also include a wireless communication module incorporated in the mobile device, to receive a reference signal through a side-channel, the reference signal associated with the interfering audio signal. The system may further include an acoustic echo cancellation module incorporated in the mobile device, the acoustic echo cancellation module to cancel the interfering audio signal from the captured acoustic audio signal, the cancellation based on the reference signal.

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: In one example a base station for an electronic device comprises a charging station, an audio interface, logic, at least partially including hardware logic, configured to detect a first electronic device within a geographic region proximate the charging device, and in response to detecting the first electronic device 100, to establish a communication link with the first electronic device via a wireless communication channel, activate the audio interface to receive audio input. Other examples may be described.

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: Disclosed are embodiments for seamless, single-step, and speech-triggered transition of a host processor and/or computing device from a low functionality mode to a high functionality mode in which full vocabulary speech recognition can be accomplished. First audio samples are captured by a low power audio processor while the host processor is in a low functionality mode. The low power audio processor may identify a predetermined audio pattern. The low power audio processor, upon identifying the predetermined audio pattern, triggers the host processor to transition to a high functionality mode. An end portion of the first audio samples that follow an end-point of the predetermined audio pattern may be stored in system memory accessible by the host processor. Second audio samples are captured and stored with the end portion of the first audio samples.