A wave source direction estimation device includes a signal extraction unit that sequentially extracts, one at a time, signals of signal segments according to a set time length from at least two input signals based on a wave detected at different detection positions, a function generation unit that generates a function associating at least two signals extracted by the signal extraction unit, a sharpness calculation unit that calculates sharpness of a peak of the function generated by the function generation unit, and a time length calculation unit that calculates the time length based on the sharpness and set the calculated time length.

An aspect of the invention is directed to a system of both atmospheric and underwater sensors for measuring pressure waves from a noise source. A system of pressure sensors can be formed to determine the location of an external noise source, whether in air or underwater. The system includes at least two arrays consisting of pressure sensors, including at least one atmospheric pressure sensor and at least one underwater pressure sensor, such as a hydrophone. Each sensor may be a seven-fiber intensity modulated fiber optic pressure sensor. The system includes an analog to digital converter for digitizing the pressure data received from each sensor and a processor which processes the received signals to calculate an approximate location of the noise source based upon the pressure signals received by the sensors at different times of arrival. The system can provide this capability in remote applications due to its low power requirements.

In order to estimate the trajectory of a moving wave source, this trajectory estimation device (10) comprises: an acquisition unit (11) that acquires wave motion data based on wave motion detected by a plurality of sensors (100); a generation unit (12) that generates a spectrogram using the wave motion data; an extraction unit (13) that extracts a Doppler shift from the spectrogram; a selection unit (14) that selects, as a sensor pair, two sensors that satisfy a preset selection condition pertaining to the Doppler shift; and an estimation unit (15) that estimates the trajectory of a wave source, which is the source generating the wave motion, on the basis of the positional relationship between the sensors constituting the sensor pair and the relationship of the Doppler shift between the two sensors constituting the sensor pair.

Sounds arriving from outside of a mobile body are collected by a microphone disposed inside the mobile body. A sound collecting apparatus according to the present disclosure is attached to the mobile body. The sound collecting apparatus according to the present disclosure includes a microphone that is directly or indirectly in contact with an outer face member, which is a member forming an outer face of the mobile body, from an inner side of the mobile body and collects sounds propagating through the outer face member. In a case where the microphone has directivity, the microphone is disposed in a direction in which sounds propagating from the outer face of the outer face member to the inner side are collected. The outer face member is, for example, glass.

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.

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.

A sensing and transmitting system and method of using same, including a plurality of acoustically transmitting sensor (ATS) devices having a sensor, a housing, and a transmitter that, together, converts a physical quantity of the fluid body into a responsive signal measurable over long distances underwater by a central receiving node. The node having a receiver or receiver array, a controller and typically a logger. The signals sent by the ATS are modulated according to the sensor's measured parameter and in a manner known to and decodable by the node. This system may further have an autonomous node and the modulated signals of the plurality of ATS may influence the behaviour of the node.

A method and system for generating a target map for training a neural network and obtaining a sound source map regardless of the maximum number of sound sources, having a short computation time for inference, high spatial resolution and high sound source accuracy. The method includes generating grids each having a spacing within a given range at positions where sound sources are present in order to form a sound source map, calculating a result value for each of coordinates of the grids so that the result value is a local maximum at the position of a sound source and the result value decreases depending on the distance from the sound source, arranging the result values at positions on matrices corresponding to the respective coordinates of the grids, and generating a target map having an image form by using the result values arranged in on the matrices.

A method and system for generating a target map for training a neural network and obtaining a sound source map regardless of the maximum number of sound sources, having a short computation time for inference, high spatial resolution and high sound source accuracy. The method includes generating grids each having a spacing within a given range at positions where sound sources are present in order to form a sound source map, calculating a result value for each of coordinates of the grids so that the result value is a local maximum at the position of a sound source and the result value decreases depending on the distance from the sound source, arranging the result values at positions on matrices corresponding to the respective coordinates of the grids, and generating a target map having an image form by using the result values arranged in on the matrices.

A sound detector system has one or more microphone positioned with a field of regard of 360°. The system further has a processor to translate a sound into data indicative of a direction and transmit the data indicative of direction. Additionally, the system has a handheld device configured to wirelessly receive the data indicative of the direction and display data identifying the field of direction to a user.