Abstract: An example apparatus for hearing protection and communication includes safety glasses including a vibration sensor to capture speech from a user. The apparatus also includes hearing protectors communicatively coupled to the safety glasses and one or more other devices. The hearing protectors are to reduce a volume of an ambient sound and play back captured speech from the one or more other devices. The apparatus also further includes a number of wireless communication elements to communicatively couple the safety glasses, the hearing protectors, and at least a second apparatus for hearing protection and communication.

Abstract: Apparatuses and methods for selecting, for communicating, between signals provided by various pickups on the basis of a calculated signal to noise ratio (SNR) are disclosed. The various pickups may include a microphone and a vibration sensor. Signals from the microphone may be compared with signals from the vibration sensor by extracting a root-mean-square (RMS) profile for each, and comparing the RMS profiles to determine an SNR estimate for the microphone signal. The microphone signal may be selected if the SNR estimate is below a predetermined threshold, otherwise the vibration sensor signal may be selected. The vibration sensor signal may be subject to further processing if selected to approximate the microphone signal.

Abstract: Technologies for emotion prediction based on breathing patterns include a wearable device. The wearable device includes a breathing sensor to generate breathing data, one or more processors, and one or more memory devices having stored therein a plurality of instructions that, when executed, cause the wearable device to calibrate a personalized emotion predictive model associated with the user, collect breathing data of the user of the wearable device, analyze the breathing data to determine a breathing pattern, predict, in response to an analysis of the breathing data, the emotional state of the user using the personalized emotion predictive model, and output the emotional state of the user.

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: Systems, apparatuses and methods for technology to perform gait detection and identification. The system includes a pre-processing pipeline to process audio input data from one or more microphones to combine and strengthen an audio gait signal. The pre-processing pipeline is coupled to a gait detector to detect the sound of one or more footsteps from the audio gait signal. The system also includes a person evaluator (e.g., identifier/verifier) to identify the person associated with the one or more footsteps using a set of trained footstep identification (ID) classifiers. Each trained footstep ID classifier is mapped to the gait of a specific person in the home based on a particular combination of person, footwear, and floor surface within the home.

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 receiving real time signals from the sensor array, comparing the real time signals to corresponding training signals representing a gesture from each sensor in the sensor array to determine if a gesture has been recognized and transmitting a command corresponding to a recognized gesture to a remote computing device.

Abstract: Embodiments of the present disclosure provide techniques and configurations for an apparatus for audio signal emulation, based on a vibration signal generated in response to a user's voice. In some embodiments, the apparatus may include at least one sensor disposed on the apparatus to generate a sensor signal indicative of vibration induced by a user's voice in a portion of a user's head. The apparatus may further include a controller coupled with the sensor, to transform the sensor signal into an emulated audio signal, with distortions associated with the vibration in the user's head portion that are manifested in the generated sensor signal, to improve speech recognition based on the generated sensor signal at least partially mitigated. Other embodiments may be described and/or claimed.

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: Embodiments of the present disclosure provide techniques and configurations for an apparatus to determine a command to the apparatus, based on vibration patterns. In one instance, the apparatus may include a body with at least one surface to receive one or more user inputs; at least one sensor disposed to be in contact with the body to detect vibration manifested by the surface in response to the user input, and generate a signal indicative of vibration detected; and a controller coupled with the sensor, to process the vibration-indicative signal, to identify a vibration pattern, and determine a command based at least in part on the vibration pattern, based at least in part on a result of the process of the signal. The command may be provided to interact, operate, or control the apparatus. Other embodiments may be described and/or claimed.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor tasks performed in an environment of interest are disclosed. One such apparatus is a task monitor that includes a signature comparator to compare a first signature to a second signature. The first signature is generated based on first audio collected in an environment of interest and the second signature is generated based on second audio collected during performance of a task in the environment of interest. The task monitor also includes an object identifier to identify an object corresponding to a location determined based on an angle of arrival of the first audio at a sensor. A task identifier is to identify the task as a cause of the first audio when the signature comparator determines the first signature matches the second signature and the object identifier identifies the object as a same object used to perform the task.

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: Embodiments of the present disclosure provide techniques and configurations for an apparatus for a user's physiological context measurements. In one instance, the apparatus may include a processing block and first and second piezoelectric sensors coupled with the processing block. The first and second sensors may include respectively first and second electrodes to provide contact with a user's body in response to mounting of the apparatus on the user's body. The processing block may comprise a multi-modal sensing system configured to perform measurements of a user's physiological context during the contact of the user's body with the first and second electrodes, based at least in part on a voltage signal generated by the user's body and provided to the processing block via the first and second electrodes. Other embodiments may be described and/or claimed.

Abstract: Embodiments of the present disclosure provide techniques and configurations for an apparatus for a user's physiological context measurements. In one instance, the apparatus may include a head-fitting component to be mounted at least partly around a user's head, and a sensor disposed on the head-fitting component to generate a signal indicative of a user's physiological context in response to contact with the user's head. The physiological context may comprise a respiration cycle, and the sensor may sense vibration in a portion of the user's head produced in response to the respiration cycle. The apparatus may further include a controller coupled with the sensor, to process the signal and generate data indicative of the physiological context of the user. Other embodiments may be described and/or claimed.

Abstract: Technologies for using a shifted neural network include a compute device to determine a shift-based activation function of the shifted neural network. The shift-based activation function is a piecewise linear approximation of a transcendental activation function and is defined by a plurality of line segments such that a corresponding slope of each line segment is a power of two. The compute device further trains the shifted neural network based on shift-based input weights and the determined shift-based activation function.

Abstract: Embodiments of the present disclosure provide techniques and configurations for an apparatus for detection of a change of electromagnetic field in response to a gesture, to identify the gesture that caused the field change. In one instance, the apparatus may include a first conducting component having first features for the disposal on or around a portion of a user's body, to generate an electromagnetic field in response to a receipt of a source signal. The apparatus may further include a second conducting component having second features for the disposal on or around a portion of the user's body, at a distance from the first conducting component, to provide an indication of a change in the electromagnetic field over time, to identify a change of a position of the user's body portion (gesture) that causes the change in the electromagnetic field. Other embodiments may be described and/or claimed.

Abstract: A wearable gesture recognition device is disclosed that provides gesture recognition for gestures that may include a hold or steady-state component, and may account and adapt for real-time fit-level changes. The wearable gesture recognition device may integrate a photoplethysmographic (PPMG) and a piezoelectric (PZE) sensor such that respective sensor signals may be used individually, or in concert for gesture recognition. Thus the wearable gesture recognition device generally disclosed herein may advantageously perform gesture recognition through the fusion of PPMG and PZE signals. To support continuous gesture recognition, the wearable gesture recognition device may use a low-power activity detection scheme that analyzes a PZE signal prior to higher-power gesture classification. Moreover, the wearable gesture recognition device may provide power management by controlling a duty-cycle of the PPMG sensor without necessarily reducing recognition performance.

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.