Abstract: Technology for a mobile device is described. The mobile device can include a vibration motor operable to generate a vibration, and a sensor operable to capture a plurality of vibration signals that result from the vibration. The mobile device can provide the plurality of vibration signals to a model running on the mobile device. The model can include a plurality of predefined patterns that correspond to vibration signals produced by mobile devices residing on different surfaces. The mobile device can identify, using the model, a predefined pattern in the plurality of predefined patterns that substantially corresponds to the plurality of vibration signals based on a confidence level that exceeds a threshold. The mobile device can determine a type of surface on which the mobile device resides based on the predefined pattern identified using the model.

Abstract: Methods, systems, and apparatus for audio noise reduction from a drone are disclosed. An example apparatus includes an acoustic sensor to gather acoustic data and at least one rotational motion sensor to gather rotational motion data of a first rotor and second rotational motion data of a second rotor. The example apparatus also includes an analyzer to identify a first filter that matches the first rotational motion data and identify a second filter that matches the second rotational motion data. The analyzer also is to filter the acoustic data into filtered acoustic data with the first identified filter and the second identified filter and generate an audio signal based on the filtered acoustic data.

Abstract: A system, article, and method of acoustic angle of arrival detection uses both same-time and delayed-time audio signal value comparisons in a time domain that are input to a classifier neural network.

Abstract: Methods, systems, and apparatus for audio noise reduction from a drone are disclosed. An example apparatus includes a first sensor to gather acoustic data and a second sensor to gather rotational motion data of a rotor. The example apparatus also includes an analyzer to match the rotational motion data to a filter and filter the acoustic data using the filter. The analyzer also is to generate an audio signal based on the filtered acoustic data.

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: Methods and apparatus for preventing collisions between drones based on drone-to-drone acoustic communications are disclosed. A control system of a first drone includes a route manager to command the first drone to track a first route. The control system further includes a plurality of acoustic sensors arranged on the first drone to detect acoustic signals. The control system further includes a collision prevention engine to determine a second route based on acoustic signals detected by the acoustic sensors, the acoustic signals being received from a second drone while the first drone is tracking the first route. The second route differs from the first route to prevent a drone-to-drone collision between the first drone and the second drone. The collision prevention engine is to cause the route manager to command the first drone to track the second route instead of the first route.

Abstract: Methods, systems, and apparatus for audio noise reduction from a drone are disclosed. An example apparatus includes a first sensor to gather acoustic data and a second sensor to gather rotational motion data of a rotor. The example apparatus also includes an analyzer to match the rotational motion data to a filter and filter the acoustic data using the filter. The analyzer also is to generate an audio signal based on the filtered acoustic data.

Abstract: Methods and apparatuses for implementing a neural network using symmetric tensors. In embodiments, a system may include a higher order neural network with a plurality of layers that includes an input layer, one or more hidden layers, and an output layer. Each of the input layer, the one or more hidden layers, and the output layer includes a plurality of neurons, where the plurality of neurons includes at least first order neurons and second order neurons, and where inputs at a second order neuron are combined using a symmetric tensor.

Abstract: An embodiment of a semiconductor package apparatus may include technology to acquire vibration information corresponding to a speaker, and identify the speaker based on the vibration information. Other embodiments are disclosed and claimed.

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: Methods and apparatus for identifying breathing patterns are disclosed herein. An example wearable device includes a sensor positioned to generate vibration signal data from a nasal bridge of a user, a breathing phase detector to identify a first and second breathing phases based on the vibration signal data, a phase timing calculator to calculate a first time period for the first breathing phase and a second time period for the second breathing phase, a breathing pattern detector to generate a breathing pattern metric based on the first and second time periods, a breathing activity detector to identify a breathing activity associated with the vibration signal data based on the breathing pattern metric, and an alert generator to activate an output device to generate at least one of an audible, tactile, or visual alert based on at least one of the breathing activity and a change associated with the breathing activity.

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: Speech from multiple users is distinguished. In one example, an apparatus has a sensor to determine a position of a speaker, a microphone array to receive audio from the speaker and from other simultaneous audio sources, and a processor to select a pre-determined filter based on the determined position and to apply the selected filter to the received audio to separate the audio from the speaker from the audio from the other simultaneous audio sources.

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: 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: Speech from multiple users is distinguished. In one example, an apparatus has a sensor to determine a position of a speaker, a microphone array to receive audio from the speaker and from other simultaneous audio sources, and a processor to select a pre-determined filter based on the determined position and to apply the selected filter to the received audio to separate the audio from the speaker from the audio from the other simultaneous audio sources.