Asymmetry is provided for the pushing pulse in acoustic radiation force impulse (ARFI) imaging. MI is based on the negative pressure. By increasing the positive pressure more than the negative pressure, the magnitude of displacement may be increased without exceeding the MI limit. Similarly, negative voltages depole while positive do not, so using an ARFI or pushing pulse with asymmetric positive-to-negative peak pressures or voltages allows for generation of greater magnitude of displacement without harm to the transducer.

Asymmetry is provided for the pushing pulse in acoustic radiation force impulse (ARFI) imaging. MI is based on the negative pressure. By increasing the positive pressure more than the negative pressure, the magnitude of displacement may be increased without exceeding the MI limit. Similarly, negative voltages depole while positive do not, so using an ARFI or pushing pulse with asymmetric positive-to-negative peak pressures or voltages allows for generation of greater magnitude of displacement without harm to the transducer.

A method and system for improving wearable device function control is provided. The method includes detecting a first gesture executed by a user. A speed and direction of the first gesture; an eye focus of the user, and a time period associated with eye focus being directed towards a display portion of a wearable device are detected. The first gesture is analyzed with respect to previously determined mapping data, the speed and direction of the first gesture, the eye focus of the user, and the time period. In response, a specified function of the wearable device associated with the first gesture is determined and executed.

A method and system for improving wearable device function control is provided. The method includes detecting a first gesture executed by a user. A speed and direction of the first gesture; an eye focus of the user, and a time period associated with eye focus being directed towards a display portion of a wearable device are detected. The first gesture is analyzed with respect to previously determined mapping data, the speed and direction of the first gesture, the eye focus of the user, and the time period. In response, a specified function of the wearable device associated with the first gesture is determined and executed.

A railroad car location, speed and heading sensor system including at least one self-powered, tie-mounted sensor node that is applicable universally to different railroad settings without using track circuits, inductive loops, radar systems, and wheel counters and associated disadvantages. Reliable and relatively low cost deterministic and redundant car presence detection is realized when multiple sensor nodes are arranged in a network, which may be a wireless mesh network, that is not affected by environmental conditions.

A displacement detection device includes a transmitter, a receiver, and a controller configured or programmed to output a first transmission signal to the transmitter to transmit a modulated wave and acquire a responsive first reception signal in a first measurement period, extract first phase information indicating a phase defined in a correlation between a first transmission signal and a reception signal, output a second transmission signal to the transmitter and acquire a responsive second reception signal in a second measurement period after the first measurement period, extract second phase information indicating a phase defined in a correlation between the second transmission signal and reception signal, and detect a displacement of an object between the first and second measurement periods, depending on a difference between the first and second phase information.

A displacement detection device includes a transmitter, a receiver, and a controller configured or programmed to output a first transmission signal to the transmitter to transmit a modulated wave and acquire a responsive first reception signal in a first measurement period, extract first phase information indicating a phase defined in a correlation between a first transmission signal and a reception signal, output a second transmission signal to the transmitter and acquire a responsive second reception signal in a second measurement period after the first measurement period, extract second phase information indicating a phase defined in a correlation between the second transmission signal and reception signal, and detect a displacement of an object between the first and second measurement periods, depending on a difference between the first and second phase information.

An obstacle monitoring system includes a first transducer that obtains a first distance measurement to an obstacle using a first linear frequency modulated (LFM) chirp. The system further includes a second transducer, able to operate concurrently with the first transducer, that obtains a second distance measurement to the obstacle using a second LFM chirp. The second LFM chirp has an inverted slope or shifted center frequency compared to the first LFM chirp. The system further includes a controller that processes the first and second distance measurements to determine a motion-compensated distance measurement to the obstacle.

An obstacle monitoring system includes a first transducer that obtains a first distance measurement to an obstacle using a first linear frequency modulated (LFM) chirp. The system further includes a second transducer, able to operate concurrently with the first transducer, that obtains a second distance measurement to the obstacle using a second LFM chirp. The second LFM chirp has an inverted slope or shifted center frequency compared to the first LFM chirp. The system further includes a controller that processes the first and second distance measurements to determine a motion-compensated distance measurement to the obstacle.

A method, system and computer program product for tracking movement of an object, such as a hand. Speakers of a device to be controlled transmit frequency modulated continuous wave (FMCW) audio signals. These signals are reflected by the object and received by the microphones at the controlled device. The received and transmitted audio signals are mixed. A fast Fourier transform (FFT) is then performed on the mixed audio signals. One or more peak frequencies in the frequency domain of the FFT mixed audio signals are selected and used to estimate the distance between the object and the speakers of the controlled device. Furthermore, the velocity of the object is estimated. The coordinates of the object are then computed using the estimated distance between the object and the speakers and microphones of the controlled device and the estimated velocity of the object.