Abstract: A system is described herein. The system includes at least one hardware processor that is configured to identify a pre-determined acoustic barrier filter, wherein the acoustic barrier filter coincides with the physical acoustic barrier and receive an audio signal within a time window at the first microphone and the second microphone. The hardware processor is also configured to calculate a first measure of variability, a second measure of variability, a third measure of variability, and a fourth measure of variability. The hardware processor further concatenates the first measure of variability, the second measure of variability, the third measure of variability, and the fourth measure of variability to form a feature vector, and inputs the feature vector into a location classifier to obtain an audio source location.

Abstract: A system is described herein. The system includes at least one hardware processor that is configured to identify a pre-determined acoustic barrier filter, wherein the acoustic barrier filter coincides with the physical acoustic barrier and receive an audio signal within a time window at the first microphone and the second microphone. The hardware processor is also configured to calculate a first measure of variability, a second measure of variability, a third measure of variability, and a fourth measure of variability. The hardware processor further concatenates the first measure of variability, the second measure of variability, the third measure of variability, and the fourth measure of variability to form a feature vector, and inputs the feature vector into a location classifier to obtain an audio source location.

Abstract: An example apparatus for detecting speech includes an image receiver to receive depth information corresponding to a face. The apparatus also includes a landmark detector to detect the face comprising lips and track a plurality of descriptor points comprising lip descriptor points located around the lips. The apparatus further includes a descriptor computer to calculate a plurality of descriptor features based on the tracked descriptor points. The apparatus includes a pattern generator to generate a visual pattern of the descriptor features over time. The apparatus also further includes a speech recognition engine to detect speech based on the generated visual pattern.

Abstract: The apparatus includes an apparatus for harvesting energy. The apparatus includes a textile having an insulating substrate, a direct current (DC) power bus structure disposed in the insulating substrate, and multiple transducers. The DC power bus includes a positive conductor and a ground conductor. The transducers are secured to the insulating substrate and in electrical contact with the positive conductor and the ground conductor. Additionally, the DC bus remains conductively coupled to the transducers remaining in the textile after the textile is cut.

Abstract: The apparatus includes an apparatus for harvesting energy. The apparatus includes a textile having an insulating substrate, a direct current (DC) power bus structure disposed in the insulating substrate, and multiple transducers. The DC power bus includes a positive conductor and a ground conductor. The transducers are secured to the insulating substrate and in electrical contact with the positive conductor and the ground conductor. Additionally, the DC bus remains conductively coupled to the transducers remaining in the textile after the textile is cut.

Abstract: Described herein are technologies that facilitate wireless communication with highly-isolated, dual-port antenna system. More particularly, an example antenna system that implements the technology includes a complementary pair of physically co-located antennas for signal transmission and/or reception. More particularly still, an example implementation of the disclosed technology is an antenna system that utilizes a monopole antenna symmetrically and physically co-located with a slot antenna in a shared antenna plane with a simple feed structure.

Abstract: Example customizable example customizable wearable electronic devices, and methods of assembling the same are disclosed. An example customizable wearable electronic device includes a housing bottom member, a housing top member including a radio frequency (RF) attenuating portion that includes a material that attenuates RF energy and an RF conducting portion that includes an electrically-conductive material, the housing top member separated from the housing bottom member by an electrical isolation gap member, an electrically-conductive contact to couple the RF conducting portion of the top housing member to a communication module in the customizable wearable electronic device, and a customization part selected from a plurality of different customization parts having respective different configurations, the selected customization part electrically coupled to the RF conducting portion of the housing top member when the selected customization part is assembled to the housing top member.

Abstract: Example customizable example customizable wearable electronic devices, and methods of assembling the same are disclosed. An example customizable wearable electronic device includes a housing bottom member, a housing top member including a radio frequency (RF) attenuating portion that includes a material that attenuates RF energy and an RF conducting portion that includes an electrically-conductive material, the housing top member separated from the housing bottom member by an electrical isolation gap member, an electrically-conductive contact to couple the RF conducting portion of the top housing member to a communication module in the customizable wearable electronic device, and a customization part selected from a plurality of different customization parts having respective different configurations, the selected customization part electrically coupled to the RF conducting portion of the housing top member when the selected customization part is assembled to the housing top member.

Abstract: The present disclosure pertains to a system for voice capture via nasal vibration sensing. A system worn by a user may be able to sense vibrations through the nose of the user when the user speaks, generate an electronic signal based on the sensed vibration and generate voice data based on the electronic signal. In this manner, the system may capture a user's voice while also screening out external noise (e.g., based on the sound dampening properties of the human skull). An example system may include a wearable frame (e.g., eyeglass frame) on which is mounted at least one sensor and a device. The at least one sensor may sense vibration in the nose of a user and may generate the electronic signal based on the vibration. The device may receive the electronic signal from the at least one sensor and may generate voice data based on the electronic signal.

Abstract: An example apparatus for detecting speech includes an image receiver to receive depth information corresponding to a face. The apparatus also includes a landmark detector to detect the face comprising lips and track a plurality of descriptor points comprising lip descriptor points located around the lips. The apparatus further includes a descriptor computer to calculate a plurality of descriptor features based on the tracked descriptor points. The apparatus includes a pattern generator to generate a visual pattern of the descriptor features over time. The apparatus also further includes a speech recognition engine to detect speech based on the generated visual pattern.

Abstract: A method is described including performing gestural training to extract training signals representing a gesture from each sensor in a sensor array, storing the training signals for each signal corresponding to the gesture in a library, receiving real time signals from the sensor array and comparing the real time output signals to corresponding training signals within the library to determine if a gesture has been recognized.

Abstract: A voice capture system worn by a user senses vibrations through the nose of the user when the user speaks. The voice capture system generates an electronic signal based on the sensed vibration and generate voice data based on the electronic signal. In this manner, the system may capture a user's voice while also screening out external noise (e.g., based on the sound dampening properties of the human skull). In one example, a voice capture system may include a wearable frame (e.g., eyeglass frame) on which is mounted at least one sensor and a device. The at least one sensor senses vibration in the nose of a user and generates the electronic signal based on the vibration. The device receives the electronic signal from the at least one sensor and generates voice data based on the electronic signal.

Abstract: A system for sound capture and generation via nasal vibration is described. In embodiments the system includes eyeglasses that include at least a frame that is wearable by a user. Sensing circuitry is mounted to the frame, and a device is incorporated into the frame. The sensing circuitry includes at least one sensor, wherein the sensor can passively sense voice vibration induced in the user's nose, and/or which may actively induce audio vibration in the user's nose based on audio data.

Abstract: This disclosure pertains to a system for sound capture and generation via nasal vibration. An example system to capture and generate sound may comprise at least a frame wearable by a user, sensing circuitry mounted to the frame and a device also mounted to the frame. The sensing circuitry may sense voice vibration induced in the user's nose by the user's voice, generate an electronic signal based on the sensed voice vibration and induce audio vibration in the nose based on audio data. The device may be to at least control the operation of the sensing circuitry. The sensing circuitry may comprise at least one piezoelectric diaphragm to generate the electronic signal and induce the audio vibration. In at least one example implementation, the frame may be for eyeglasses and may comprise at least one nosepiece structure for contacting the nose, the at least one structure including the sensing circuitry.

Abstract: A voice capture system worn by a user senses vibrations through the nose of the user when the user speaks. The voice capture system generates an electronic signal based on the sensed vibration and generate voice data based on the electronic signal. In this manner, the system may capture a user's voice while also screening out external noise (e.g., based on the sound dampening properties of the human skull). In one example, a voice capture system may include a wearable frame (e.g., eyeglass frame) on which is mounted at least one sensor and a device. The at least one sensor senses vibration in the nose of a user and generates the electronic signal based on the vibration. The device receives the electronic signal from the at least one sensor and generates voice data based on the electronic signal.

Abstract: A method is described including performing gestural training to extract training signals representing a gesture from each sensor in a sensor array, storing the training signals for each signal corresponding to the gesture in a library, receiving real time signals from the sensor array and comparing the real time output signals to corresponding training signals within the library to determine if a gesture has been recognized

Abstract: In one example a holder for a piezoelectric sensor comprises a body comprising a first surface and a second surface, opposite the first surface and a recess formed in the first surface of the body to receive the piezoelectric sensor. Other examples may be described.

Abstract: In one example a control logic, at least partially including hardware logic, is configured to receive a first signal from at least one of the plurality of sensors, wherein the first signal represents first acceleration data associated with the at least one of the plurality of sensors over a predetermined time period, and in response to the first signal, to determine a symbol associated with the first acceleration data, and transmit a signal identifying the symbol to a remote electronic device. Other examples may be described.