A method, system and computer readable medium for Ultrasound contact tracing comprising receiving one or more advertise messages determining a base station from the one or more advertise messages wherein the base station generates a broadcast order from at least the one or more advertise messages. A broadcast order is determined and an ultrasound message is sent according to the broadcast order. A detection period for ultrasound messages is initiated according to the broadcast order and a user may be notified of a detected ultrasound message.

A method, system and computer readable medium for Ultrasound contact tracing comprising receiving one or more advertise messages determining a base station from the one or more advertise messages wherein the base station generates a broadcast order from at least the one or more advertise messages. A broadcast order is determined and an ultrasound message is sent according to the broadcast order. A detection period for ultrasound messages is initiated according to the broadcast order and a user may be notified of a detected ultrasound message.

The present disclosure belongs to the technical field of acoustic positioning, and discloses an acoustic positioning system and method for a smartphone and a wearable device, and a terminal. A ranging signal is transmitted by virtue of a base station network, and specific space signals of which the frequencies are 12 kHz to 21 kHz are designed; the ranging signal is received and decoded by virtue of a user terminal, distances from base stations to the user terminal are estimated according to the first arrival signals, and the position of a user is estimated according to a plurality of distances measured on the position of the user. The present disclosure provides the acoustic positioning system (APS) for the smartphone and the wearable device, which is a technology for precise ranging based on acoustic waves.

Disclosed is a system and method for generating a model of the geometric relationships between various audio sources recorded by a multi-camera system. The spatial audio scene module associates source signals, extracted from recorded audio, of audio sources to visual objects identified in videos recorded by one or more cameras. This association may be based on estimated positions of the audio sources based on relative signal gains and delays of the source signal received at each microphone. The estimated positions of audio sources are tracked indirectly by tracking the associated visual objects with computer vision. A virtual microphone module may receive a position for a virtual microphone and synthesize a signal corresponding to the virtual microphone position based on the estimated positions of the audio sources.

A system and method for performing an operation at a vehicle is disclosed. The system includes a first acoustic transceiver that transmits and receives inaudible acoustic signals and a second acoustic transceiver that transmits and receives inaudible acoustic signals. The second acoustic transceiver is stationary with respect to the vehicle. A processor receive an inaudible acoustic signal transmitted between the first acoustic transceiver and the second acoustic transceiver, determines a location of the first acoustic transceiver with respect to the vehicle from the received signal, and performs an operation at the vehicle based on the location of the first acoustic transceiver with respect to the vehicle.

Disclosed is a method for detecting an acoustic event of interest in a space. In the method acoustic signal data is obtained from sensors and at least some candidate impulses are determined. The candidate impulses are mapped to a representation on a basis of an origin of the candidate impulse in question and it is determined, from the generated representation, at least one indication quantity representing a likelihood of an acoustic event of interest taking place in the specified positions in space and time. Finally, the at least one indication quantity is compared to a predetermined threshold and an indication is generated if the at least indication quantity meets the predetermined threshold. Also disclosed is a computing unit and a computer program product.

Disclosed is a method for detecting an acoustic event of interest in a space. In the method acoustic signal data is obtained from sensors and at least some candidate impulses are determined. The candidate impulses are mapped to a representation on a basis of an origin of the candidate impulse in question and it is determined, from the generated representation, at least one indication quantity representing a likelihood of an acoustic event of interest taking place in the specified positions in space and time. Finally, the at least one indication quantity is compared to a predetermined threshold and an indication is generated if the at least indication quantity meets the predetermined threshold. Also disclosed is a computing unit and a computer program product.

Time of flight between two or more ultrasonic transceivers is measured using known delays between receiving a trigger and sending an ultrasonic pulse in reply. A receive time is measured from a beginning of a receive phase in which the pulse is detected until receipt of an ultrasonic reply pulse. A trip time is determined from a sum of the receive time and a difference between a known first reference period for a transceiver that sends the trigger pulse and a second know reference period for a second transceiver that sends the reply pulse. The second reference period corresponds to a delay between when the second transceiver receives the initial or subsequent trigger pulse from the first transceiver and when the second transceiver sends the reply pulse.

Disclosed are systems and methods for identifying a user of a smart object inside a moving vehicle and as well as automatic detection and calculation of a time and a location when and where the vehicle has been parked. The systems and methods are capable to enable the identification of the user of an object inside a moving entity based on the orientation of the object to be localized as well as the movement direction of the moving entity.

In order to accurately determine the location of an electronic device in an environment, a computer selects a set of received-signal-strength (RSS) values based on wireless communication between the electronic device and access points in sub-regions of the environment. This set includes a largest RSS value associated with a sub-region and at least two RSS values associated with neighboring sub-regions. Then, the computer calculates pairwise distance estimates of the location of the electronic device in the environment based on predefined locations of the access points associated with the set, one or more differences of pairs of RSS values in the set and a predetermined path-loss factor in the environment, where a given pair of RSS values includes the largest RSS value and one of the at least two RSS values. Furthermore, the computer determines the location of the electronic device in the environment based on the pairwise distance estimates.