Some systems include an acoustic sensor array configured to receive acoustic signals, an electromagnetic imaging tool configured to receive electromagnetic radiation, a position sensor configured to output position information, memory, and a processor. The processor can receive acoustic data from the acoustic sensor array and generate acoustic image data from the received acoustic data. The processor can receive electromagnetic image data from the electromagnetic imaging tool and combine the generated acoustic image data and the received electromagnetic image data to generate a display image. The processor can receive position information from the position sensor, and save the display image in memory associated with the received position information. Position information can be stored in metadata of the display image or displayed within the display image. The processor can be configured to link images stored in memory, such as based on position information associated with such images.

Some systems include an acoustic sensor array configured to receive acoustic signals, an electromagnetic imaging tool configured to receive electromagnetic radiation, a user interface, a display, and a processor. The processor can receive electromagnetic data from the electromagnetic imaging tool and acoustic data from the acoustic sensor array. The processor can generate acoustic image data of the scene based on the received acoustic data, generate a display image comprising combined acoustic image data and electromagnetic image data, and present the display image on the display. The processor can receive an annotation input from the user interface and update the display image based on the received annotation input. The processor can be configured to determine one or more acoustic parameters associated with the received acoustic signal and determine a criticality associated with the acoustic signal. A user can annotated the display image with determined criticality information or other determined information.

Acoustic imaging systems can include an acoustic sensing array, an electromagnetic imaging tool, a display, and an audio device. A processor can receive data from the acoustic sensor array and the electromagnetic imaging tool to generate a display image combining acoustic image data and electromagnetic image data. Systems can include an audio device that receives an audio output from the processor and outputs audio feedback signals to a user. The audio feedback signals can represent acoustic signals from an acoustic scene. Systems can provide a display image to a user including acoustic image data, and a user can select an acoustic signal for which to provide a corresponding audio output to an audio device. Audio outputs and display images can change dynamically in response to a change in pointing of the acoustic sensing array, such as by changing a stereo audio output.

A portable facility failure diagnosis device using detection of radiation ultrasonic waves, comprising: an ultrasonic sensor array; a data acquisition board (DAQ board) in which an electronic circuit for acquiring ultrasonic signals at a sampling frequency of the ultrasonic signals sensed by the ultrasonic sensor array is mounted on a substrate of the data acquisition board (DAQ board); a main board in which an operation processing device that processes the ultrasonic signals received from the DAQ board is mounted on the substrate and the processed ultrasonic sound source information to a display device; a data storage medium storing data processed in the operation processing device of the main board; a display device visually displaying the data processed; and an optical camera picking up an image of a direction.

A method for motion tracking and text recognition, the method including a step of generating ultrasound waves with a transmitter; a step of receiving the ultrasound waves at a receiver, the receiver including sensors that record the ultrasound waves; a step of estimating with a processor, angle-of-arrival information for the ultrasound waves; a step of associating the angle-of-arrival information with a gesture; a step of extracting features from the gesture; and a step of classifying the gesture as a specific text character based on the extracted features by comparing the extracted features with known text characters stored in one or more templates.

The present disclosure relates to an acoustic position determination system that includes a mobile communication device and at least one base transmitter unit. The mobile communication device is configured to transmit and receive acoustic signals. Due to relative movements between the mobile communication device and the base transmitter unit, frequencies of the received signals shift due to Doppler effect. The mobile communication device is configured to compensate Doppler frequency shifts in the received acoustic signals prior to performing a deconvolution decoding process. The mobile communication device is further configured to compensate Doppler frequency shifts and perform deconvolution decoding process on acoustic signals received from multiple signal transmission paths.

Provided is a sound direction detection sensor capable of detecting a direction from which sound is coming by using a multi-resonator array. The disclosed sound direction detection sensor includes two resonator arrays, each including a plurality of resonators having different resonance frequencies. The two resonator arrays have different directivities. Each resonator array serves as an audio sensor, and the sound direction detection sensor detects a direction from which sound is incident, regardless of a distance between audio sensors.

The present disclosure relates to an acoustic position determination system that includes a mobile communication device and at least one base transmitter unit. The mobile communication device is configured to transmit and receive acoustic signals. Due to relative movements between the mobile communication device and the base transmitter unit, frequencies of the received signals shift due to Doppler effect. The mobile communication device is configured to compensate Doppler frequency shifts in the received acoustic signals prior to performing a deconvolution decoding process. The mobile communication device is further configured to compensate Doppler frequency shifts and perform deconvolution decoding process on acoustic signals received from multiple signal transmission paths.

A computer implemented method, computer system, and computer program product for executing a voice command. A number of processor units displays a view of a location with voice command devices in response to detecting the voice command from a user. The number of processor units displays a voice command direction for the voice command in the view of the location. The number of processor units changes the voice command direction in response to a user input. The number of processor units identifies a voice command device from the voice command devices in the location based on the voice command direction to form a selected voice command device. The number of processor units executes the voice command using the selected voice command device.

Detection of a trajectory of a supersonic projectile is carried out derived from a plurality of acoustic detection signals. From these acoustic detection signals, two or more shockwave-derived trajectory estimates can be derived. Further, a wake derived trajectory bearing estimate can be derived, from which disambiguation of the shockwave-derived trajectory estimates can be effected.