An ultrasonic measurement device includes an ultrasonic transceiver transmitting an ultrasonic wave and receiving a reflected wave from a target so as to output a reception signal, a scanner moving a transmission/reception position where the ultrasonic transceiver transmits and receives the ultrasonic wave along a first direction, and a position measurer measuring a position of the target. When the position measurer detects a plurality of reception signals corresponding to a plurality of reflection components caused by a difference in distances from the target at a first transmission/reception position in the first direction, the position measurer selects the reception signal based on a ratio between a voltage of the reception signals at a comparison transmission/reception position different from the first transmission/reception position and a voltage of the reception signals at the first transmission/reception position, and measures the position of the target based on the selected reception signal.

Threat identification devices, systems, and methods are disclosed which identify and locate various threats and provide a variety of countermeasures to reduce the loss of life in an attack. In one implementation, a device is provided with a housing and a plurality of tubes coupled to and extending from the housing. Sensors are located within the tubes for sensing external conditions. A control unit is in electronic communication with the sensors. Upon detection of an external condition, the sensors transmit a signal to the control unit, which activates countermeasures, including rotating light sources to identify the location of the external condition as well as preferred escape routes. The control unit may also transmit signals to other devices in the environment, including video panels and speakers, to provide instructions.

An airborne acoustic vector sensor for simultaneously measuring triaxial particle acceleration in three dimensions and pressure includes a triaxial MEMS accelerometer sensitive to an Earth gravitational field. The airborne acoustic vector sensor includes one or multiple MEMS microphones sensitive to sound pressure and overlapping the accelerometer in frequency. The airborne acoustic vector sensor includes a solid body having a density approximating a density of air. The accelerometer is mounted in or upon the solid body. The airborne acoustic vector sensor includes a suspension system supporting the accelerometer and solid body within a framework.

An airborne acoustic vector sensor for simultaneously measuring triaxial particle acceleration in three dimensions and pressure includes a triaxial MEMS accelerometer sensitive to an Earth gravitational field. The airborne acoustic vector sensor includes one or multiple MEMS microphones sensitive to sound pressure and overlapping the accelerometer in frequency. The airborne acoustic vector sensor includes a solid body having a density approximating a density of air. The accelerometer is mounted in or upon the solid body. The airborne acoustic vector sensor includes a suspension system supporting the accelerometer and solid body within a framework.

A system may include a wearable apparatus dimensioned to be worn by a user about an axial region of the user’s body such that, when the wearable apparatus is worn by the user, the user’s field of view into a local environment is substantially free of a view of the wearable apparatus. The system may also include a machine-perception subsystem that is coupled to the wearable apparatus and that gathers information about the local environment by observing the local environment. Additionally, the system may include an experience-analysis subsystem that infers, based on the information about the local environment and information about the user, contextual information about an experience of the user in the local environment. Furthermore, the system may include a non-visual communication subsystem that outputs the contextual information about the experience of the user. Various other apparatuses, systems, and methods are also disclosed.

A light emission display device according to an aspect of the present invention includes: a light guide member that converts rays of incident light from a back face thereof to produce diffused light and emits the diffused light from the front face; a plurality of point light sources that are arranged at intervals on a side of the back face of the light guide member, in which the light guide member includes a light shield structure that partitions the front face into a plurality of light emission regions each corresponding to at least one point light source of the plurality of point light sources immediately below the front face, such that transmission of the rays of light to an adjacent light emission region is reduced.

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.

One embodiment provides a method of sound source enumeration and direction of arrival (DoA) estimation. The method, the method includes estimating, by an enumeration module, a number of sound sources associated with an acoustic signal. The estimating includes selecting a specific parametric model from a generalized model. The generalized model is related to a microphone array architecture used to capture the acoustic signal. The method further includes estimating, by a DoA module, a direction of arrival of each sound source of the number of sound sources based, at least in part, on the selected model. The estimating the number of sound sources and estimating the DoA of each sound source are performed using a Bayesian framework.

The present invention relates to a small spatial sound source orientation detecting device, including a circuit board; three or more MEMS acoustic-electric transducers fixedly arranged on the circuit board and centrosymmetric distribution. The distance between adjacent MEMS acoustic-electric transducers is not more than one-half of the shortest wavelength of the sound source signal; and a micro-control unit, each MEMS acoustic-electric transducer is electrically connected to the micro-control unit respectively. The micro-control unit is to obtain the orientation information of the spatial sound source based on the acoustic signals collected by three or more MEMS acoustic-electric transducers. The present invention also provides a spatial sound source orientation detection method. The small spatial sound source orientation detecting device of the present invention has an ultra-small space size, and can accurately detect the orientation information of the sound source.

Systems and methods are provided for sensing acoustic signals using a floating base vector sensor. A vector sensor according to an embodiment of the present disclosure can be used to detect and characterize low frequency sound wave(s) in a viscous medium (e.g., air, water, etc.) by detecting a periodic motion of the media particles associated with the sound wave(s). The orientation of the particle velocity deduced from such measurements can provide information regarding the wave vector of the sound wave(s), can define the direction of arrival (DOA) for the acoustic signal, and can assist locating the source of the sound of interest.