A method for dynamic notification management at a head mounted display (HMD) includes presenting, at the HMD, an augmented reality display, receiving, at a processor controlling the HMD, a notification from an application for display at the HMD, receiving, at the processor at a first time, first sensor data from one or more of a camera or a microphone, determining, based on the first sensor data, a first value of one or more factors associated with a probability that a user of the HMD is currently in a real-world conversation, determining an importance value of the received notification at the first time, and determining whether to display the notification from the application based on a comparison of the first value of the one or more factors associated relative to the importance value of the received notification.

The present disclosure relates to an acoustic position determination system that includes a mobile communication device and at least one base transmitter unit. The mobile communication device is configured to transmit and receive acoustic signals. Due to relative movements between the mobile communication device and the base transmitter unit, frequencies of the received signals shift due to Doppler effect. The mobile communication device is configured to compensate Doppler frequency shifts in the received acoustic signals prior to performing a deconvolution decoding process. The mobile communication device is further configured to compensate Doppler frequency shifts and perform deconvolution decoding process on acoustic signals received from multiple signal transmission paths.

The present disclosure relates to an acoustic position determination system that includes a mobile communication device and at least one base transmitter unit. The mobile communication device is configured to transmit and receive acoustic signals. Due to relative movements between the mobile communication device and the base transmitter unit, frequencies of the received signals shift due to Doppler effect. The mobile communication device is configured to compensate Doppler frequency shifts in the received acoustic signals prior to performing a deconvolution decoding process. The mobile communication device is further configured to compensate Doppler frequency shifts and perform deconvolution decoding process on acoustic signals received from multiple signal transmission paths.

The present application provides a method, device and system for determining a relative angle between intelligent devices, and intelligent devices. The method is applicable to a first intelligent device. The first intelligent device includes a first sound detection module and a second sound detection module. The relative angle between intelligent devices can be determined quickly, simply, conveniently and accurately.

The present application provides a method, device and system for determining a relative angle between intelligent devices, and intelligent devices. The method is applicable to a first intelligent device. The first intelligent device includes a first sound detection module and a second sound detection module. The relative angle between intelligent devices can be determined quickly, simply, conveniently and accurately.

A method for finding door location in an automated way based on observations of people that are equipped with a device whose position is determined acoustically. By observing positioning transitions across internal structures such as walls, the location of doors can be automatically identified.

A method for finding door location in an automated way based on observations of people that are equipped with a device whose position is determined acoustically. By observing positioning transitions across internal structures such as walls, the location of doors can be automatically identified.

A method for controlling a robot is provided. The method includes the steps of: acquiring information on a sound associated with a robot call in a serving place; determining a call target robot associated with the sound, among a plurality of robots in the serving place, on the basis of the acquired information; and providing feedback associated with the sound by the call target robot.

A method for geolocating a mobile computing device within an indoor environment. One embodiment may comprise generating a geolocation request audio signal by a speaker of a first device starting at a first point in time, receiving, by a microphone of the first device, a reply audio signal from a second device, and extracting, by one or more processors of the first device, information encoded in the reply audio signal. The method may further comprise estimating, by the one or more processors, a receipt time by the first device for the reply audio signal and calculating a first time of flight (TOF) using the first point in time and the estimated receipt time for a second audio signal. The first device may comprise a smartphone and the second device may comprise a beacon located at a known location in an indoor environment.

In a positioning system, a plurality of transmitter units (2, 3, 4, 5) transmit respective locating signals which are received at a mobile receiver unit (7). A processing system (7; 9) identifies the transmitter unit that transmitted each locating signal, and determines, for each transmitter unit, range data representative of a respective distance between the transmitter unit and the mobile receiver unit. The processing system determines a position estimate for the mobile receiver unit (7) by solving an optimisation problem that depends on i) the range data determined for the plurality of transmitter units, ii) data representative of the positions of the plurality of transmitter units in an environment (1), and iii) data representative of a position of a surface (1a, 1b, 1c, 1d, 1e; 601, 602) in the environment, by optimising for an objective function comprising a cost term that depends on a distance between the surface and the position estimate.