The disclosed ultrasound devices may include at least one ultrasound transmitter positioned and configured to transmit ultrasound signals toward a user's face to reflect off a facial feature of the user's face and at least one ultrasound receiver positioned and configured to receive and detect the ultrasound signals reflected off the facial feature. At least one processor may be configured to receive data from the at least one ultrasound receiver and to determine, based on the received data from the at least one ultrasound receiver, at least one of the following eye measurements: an interpupillary distance of the user; an eye relief; or a position of a head-mounted display relative to the facial feature of the user. Various other devices, systems, and methods are also disclosed.

The disclosed ultrasound devices may include at least one ultrasound transmitter positioned and configured to transmit ultrasound signals toward a user's face to reflect off a facial feature of the user's face and at least one ultrasound receiver positioned and configured to receive and detect the ultrasound signals reflected off the facial feature. At least one processor may be configured to receive data from the at least one ultrasound receiver and to determine, based on the received data from the at least one ultrasound receiver, at least one of the following eye measurements: an interpupillary distance of the user; an eye relief; or a position of a head-mounted display relative to the facial feature of the user. Various other devices, systems, and methods are also disclosed.

An electronic apparatus includes a controller, a display device coupled to the controller, and a detector coupled to the controller. The display device displays virtual environmental images. The detector detects a spatial parameter of a local space of the electronic apparatus in which the electronic apparatus is located. The controller receives the spatial parameter and controls the display device based on the spatial parameter.

An approach for providing a lower cost real time location system in less trafficked areas of a building. This approach uses on-board audio capabilities of a mobile device to receive a room response trace resulting from a self-generated acoustic signal. By comparing the room response trace to a modeled room response trace, the location of the mobile device is determined.

An obstacle shape estimating apparatus and a method thereof, includes: a processor configured to receive a the sensing signal from at least one ultrasonic sensor at a predetermined cycle, to generate positions of one or more obstacles according to distance values of an ultrasonic sensor by estimating the distance values of the ultrasonic sensor based on a sensing signal, and to generate obstacle shape information according to positions of remaining obstacles after deleting a position of an obstacle corresponding to a virtual distance value and a position of an obstacle which does not satisfy a validation condition among the positions of the one or more obstacles; and a storage configured to store data and an algorithm driven by the processor, and the obstacle shape information generated by the processor.

A videoconference system is described that generates a video for a room including multiple videoconference participants and outputs the video as part of the videoconference. The videoconference system is configured to generate the video as including a detailed view of one of the multiple videoconference participants located in the room. To do so, the videoconference system detects user devices located in the room capable of capturing video and determines a position of each user device. The videoconference system then detects a user speaking in the room and determines a position of the active speaker. At least one of the user devices is identified as including a camera oriented for capturing the active speaker. Video content captured by one or more user devices is then processed by the videoconference system to generate a detailed view of the active speaker.

A videoconference system is described that generates a video for a room including multiple videoconference participants and outputs the video as part of the videoconference. The videoconference system is configured to generate the video as including a detailed view of one of the multiple videoconference participants located in the room. To do so, the videoconference system detects user devices located in the room capable of capturing video and determines a position of each user device. The videoconference system then detects a user speaking in the room and determines a position of the active speaker. At least one of the user devices is identified as including a camera oriented for capturing the active speaker. Video content captured by one or more user devices is then processed by the videoconference system to generate a detailed view of the active speaker.

A method of operating a PMUT electro-acoustical transducer, the method comprising: applying over an excitation interval to the transducer an excitation signal which is configured to emit corresponding ultrasound pulses towards a surrounding space, acquiring at a receiver reflected ultrasound pulses as reflected in said surrounding space, generating a reference echo signal, performing a cross-correlation of said acquired received ultrasound pulses with said reference echo signal, performing a measurement based on the cross-correlation results, in particular a measurement of the time of flight of the ultrasound pulses, wherein said reference echo is obtained by finding an oscillation frequency of the transmitter on the basis of a transmitter ringdown signal, finding an oscillation frequency of the receiver on the basis of a receiver ringdown signal, performing a frequency tuning respectively on the transmitter and the receiver on the basis of said respective oscillation frequencies, then sweeping an input frequency of the transmitter to find a frequency of the maximum displacement in the ringdown signal, performing a frequency tuning of the receiver at said frequency of the maximum displacement in the ringdown signal of the transmitter.

A method of operating a PMUT electro-acoustical transducer, the method comprising: applying over an excitation interval to the transducer an excitation signal which is configured to emit corresponding ultrasound pulses towards a surrounding space, acquiring at a receiver reflected ultrasound pulses as reflected in said surrounding space, generating a reference echo signal, performing a cross-correlation of said acquired received ultrasound pulses with said reference echo signal, performing a measurement based on the cross-correlation results, in particular a measurement of the time of flight of the ultrasound pulses, wherein said reference echo is obtained by finding an oscillation frequency of the transmitter on the basis of a transmitter ringdown signal, finding an oscillation frequency of the receiver on the basis of a receiver ringdown signal, performing a frequency tuning respectively on the transmitter and the receiver on the basis of said respective oscillation frequencies, then sweeping an input frequency of the transmitter to find a frequency of the maximum displacement in the ringdown signal, performing a frequency tuning of the receiver at said frequency of the maximum displacement in the ringdown signal of the transmitter.

A system (1) is provided. The system comprises two primary sensor units (10) and two secondary sensor units (20). The secondary sensor units are configured to receive ultrasonic pulses during time windows, wherein a time window of the time windows comprises a corresponding transmit time of predetermined transmit times. The system is configured to determine a time-of-flight of an ultrasonic pulse of the ultrasonic pulses transmitted at a transmit time of the transmit times based on when the ultrasonic pulse was received during the corresponding time window. The system is further configured to determine a distance between two of the sensor units based on the determined time-of-flight between said sensor units. The system is configured to determine the positions of the sensor units in real-time based on measured movements and the determined distances.