A system includes a speaker, a microphone, a display, and one or more hardware processors coupled to the speaker, the microphone, and the display. At least one of the one or more hardware processors is operable to perform operations that include: transmitting an ultrasonic audio signal from the speaker; capturing, by the microphone, sounds in the room, wherein the sounds include an ultrasound portion and an audible portion; estimating a room impulse response based on the ultrasound portion; determining that the estimated room impulse response is different from a default room impulse response; determining, based on the audible portion, that there is non-stationary audible sound in the room; and in response to determining that the estimated room impulse response is different from the default room impulse response and that there is non-stationary audible sound in the room, switching on the display of the computing system.

Described herein are Compressive Sensing algorithms developed for automated reduction of NDE/SHM data from pitch-catch ultrasonic guided waves as well as a methodology using Compressive Sensing at two stages in the data acquisition and analysis process to detect damage: (1) temporally undersampled sensor signals from (2) spatially undersampled sensor arrays, resulting in faster data acquisition and reduced data sets without any loss in damage detection ability.

Described herein are Compressive Sensing algorithms developed for automated reduction of NDE/SHM data from pitch-catch ultrasonic guided waves as well as a methodology using Compressive Sensing at two stages in the data acquisition and analysis process to detect damage: (1) temporally undersampled sensor signals from (2) spatially undersampled sensor arrays, resulting in faster data acquisition and reduced data sets without any loss in damage detection ability.

A temperature measuring device includes an ultrasonic sensor attached to a rear surface side of the structural body having the multilayer structure, an acquisition unit configured to, through the ultrasonic sensor, acquire a signal of a reflected wave of an ultrasonic wave incident at the internal side of the structural body, an extraction unit configured to extract, from the signal of the reflected wave, a domain including a reflected wave reflected on a surface on the internal side of the structural body, and an identification unit configured to, based on a signal of the reflected wave in the extracted domain, identify the temperature of the surface on the internal side of the structural body.

A position detection system using a sensor, including a sensor unit including a plurality of sensors for transmitting a transmission signal or receiving a reflection signal reflected from an obstacle and configured to acquire a time of flight (TOF) of the received reflection signal, a storage unit configured to pre-store a position map of the obstacle for respective sensors depending on the TOF of the reflection signal on a grid map including a plurality of cells, and a position estimator configured to estimate a position of the obstacle based on the TOF of the reflection signal received by the sensor unit and the position map of the obstacle pre-stored in the storage unit.

Techniques enabling improved classification of touch or hover interactions of objects with a touch sensitive surface of a device are presented. A speaker of the device can emit an ultrasonic audio signal comprising a first frequency distribution. A microphone of the device can detect a reflected audio signal comprising a second frequency distribution. The audio signal can be reflected off of an object in proximity to the surface to produce the reflected audio signal. A classification component can determine movement status of the object, or classify the touch or hover interaction, in relation to the surface, based on analysis of the signals. The classification component also can classify the touch or hover interaction based on such ultrasound data and/or touch surface or other sensor data. The classification component can be trained, using machine learning, to perform classifications of touch or hover interactions of objects with the surface.

A sensor device may include a signal generator circuit configured to generate a supplemental signal that is combined with an ultrasonic reception voltage signal generated by an ultrasonic receiving element in response to received ultrasonic waves. The sensor device may comprise an ultrasonic receiving circuit configured to receive the combination of the ultrasonic reception voltage signal and the supplemental signal, and generate a detection signal that indicates when the space is occupied. The sensor device may also comprise a control circuit configured to receive the detection signal and detect an occupancy condition in the space in response to the detection signal. The combination of the supplemental signal with the ultrasonic reception voltage signal may ensure that the magnitudes of signals processed by the ultrasonic receiving circuit are large enough that the ultrasonic receiving circuit may appropriately generate the detection signal and the control circuit may detect the occupancy condition.

A sensor device may include a signal generator circuit configured to generate a supplemental signal that is combined with an ultrasonic reception voltage signal generated by an ultrasonic receiving element in response to received ultrasonic waves. The sensor device may comprise an ultrasonic receiving circuit configured to receive the combination of the ultrasonic reception voltage signal and the supplemental signal, and generate a detection signal that indicates when the space is occupied. The sensor device may also comprise a control circuit configured to receive the detection signal and detect an occupancy condition in the space in response to the detection signal. The combination of the supplemental signal with the ultrasonic reception voltage signal may ensure that the magnitudes of signals processed by the ultrasonic receiving circuit are large enough that the ultrasonic receiving circuit may appropriately generate the detection signal and the control circuit may detect the occupancy condition.

Disclosed is a method for determining a difference in depth or a lateral distance in relation to the vertical between two points of an underwater environment, in particular by measuring a propagation time of a sound wave. The determination is based on a single-layer model of the environment in which the wave is supposed to propagate in a straight line along an effective propagation direction, at a mean velocity that is independent of the propagation direction. Also disclosed is a method for determining the profile of the mean velocity based on the measurements of differences in depths per se, a determination of the local velocity profile over the variation interval of the sounded depths, and a related sonar system.

Disclosed is a method for determining a difference in depth or a lateral distance in relation to the vertical between two points of an underwater environment, in particular by measuring a propagation time of a sound wave. The determination is based on a single-layer model of the environment in which the wave is supposed to propagate in a straight line along an effective propagation direction, at a mean velocity that is independent of the propagation direction. Also disclosed is a method for determining the profile of the mean velocity based on the measurements of differences in depths per se, a determination of the local velocity profile over the variation interval of the sounded depths, and a related sonar system.