Example implementations relate to determining a location using time difference of arrival (TDOA). For example, a computing device may include a first sensor to receive a signal at a first time, where the signal is generated by a user contact at a particular location on a keyboard associated with the computing device. The computing device also includes a second sensor to receive the signal at a second time and a third sensor to receive the signal at a third time. The computing device may also include a processor. The processor may calculate a set of TDOAs associated with the first time, the second time, and the third time. The processor may determine the particular location of the user contact using a triangulation based on the set of TDOAs and may identify a character on the keyboard, where the character is associated with the particular location.

Example implementations relate to determining a location using time difference of arrival (TDOA). For example, a computing device may include a first sensor to receive a signal at a first time, where the signal is generated by a user contact at a particular location on a keyboard associated with the computing device. The computing device also includes a second sensor to receive the signal at a second time and a third sensor to receive the signal at a third time. The computing device may also include a processor. The processor may calculate a set of TDOAs associated with the first time, the second time, and the third time. The processor may determine the particular location of the user contact using a triangulation based on the set of TDOAs and may identify a character on the keyboard, where the character is associated with the particular location.

An apparatus comprises a receiver (203) receiving a multichannel signal comprising two channels for rendering by a first speaker (101) at a first position and a second speaker (103) at a second position respectively. A first signal generator (207) generates a correlated signal and a second signal generator (209) generates an uncorrelated signal from the multichannel signal, the signals comprising respectively correlated and uncorrelated signal components for the channels. A receiver (201) receives a microphone signal from the microphone (107). A first correlator (213) determines a first correlation signal from a correlation of the microphone signal and the correlated signal, and a second correlator (215) determines a second correlation signal from a correlation of the microphone signal and the uncorrelated signal. A position estimator (219) estimates a position of the microphone from the first and second correlation signals. For example, timings of peaks in the correlations signals may be used to determine propagation delays and thus distances from the speakers (101, 103).

An apparatus comprises a receiver (203) receiving a multichannel signal comprising two channels for rendering by a first speaker (101) at a first position and a second speaker (103) at a second position respectively. A first signal generator (207) generates a correlated signal and a second signal generator (209) generates an uncorrelated signal from the multichannel signal, the signals comprising respectively correlated and uncorrelated signal components for the channels. A receiver (201) receives a microphone signal from the microphone (107). A first correlator (213) determines a first correlation signal from a correlation of the microphone signal and the correlated signal, and a second correlator (215) determines a second correlation signal from a correlation of the microphone signal and the uncorrelated signal. A position estimator (219) estimates a position of the microphone from the first and second correlation signals. For example, timings of peaks in the correlations signals may be used to determine propagation delays and thus distances from the speakers (101, 103).

A method for providing sound tracking information includes detecting a sound emitted adjacent to a subject vehicle and generating a sound tracking result based at least on sound data relating to the detected sound. A relative velocity of another vehicle operating near the subject vehicle is determined based on an angle of the other vehicle determined from the sound tracking result. A notification regarding the other vehicle is determined based on the relative velocity. The sound tracking result includes, for each of a plurality of angles relative to the subject vehicle in each of a plurality of frames of sound data according to time, an estimate of a probability of the presence of at least one other vehicle at each respective angle in each respective frame.

A system for determining a signal source position and velocity, and methods for manufacturing and using same are provided. An exemplary method includes determining a signal source position and velocity by performing a direction analysis on a plurality of audio signals and performing an intensity analysis on the audio signals. Another exemplary method includes determining that a signal source is on a collision course with a moving platform and providing an instruction for altering the course of the moving platform to avoid a collision with the signal source. An exemplary system includes an acoustic sensing system, having a primary microphone array, a secondary microphone, and a processing device for determining a signal source position and velocity by performing a direction analysis on a plurality of audio signals and performing an intensity analysis on the audio signals.

A system for determining a signal source position and velocity, and methods for manufacturing and using same are provided. An exemplary method includes determining a signal source position and velocity by performing a direction analysis on a plurality of audio signals and performing an intensity analysis on the audio signals. Another exemplary method includes determining that a signal source is on a collision course with a moving platform and providing an instruction for altering the course of the moving platform to avoid a collision with the signal source. An exemplary system includes an acoustic sensing system, having a primary microphone array, a secondary microphone, and a processing device for determining a signal source position and velocity by performing a direction analysis on a plurality of audio signals and performing an intensity analysis on the audio signals.

A system is described that comprises a plurality of sensor nodes and at least one remote server, wherein each sensor node of the plurality of sensor nodes and the at least one remote server are communicatively coupled, wherein the plurality of sensor nodes receive at least one acoustic signal, process the at least one acoustic signal to detect one or more transient events, classify the one or more transient events as an event type, and determine geometry information and timing information of the one or more transient events. The system comprises at least one of the plurality of sensor nodes and the at least one remote server identifying the source of the one or more transient events.

An audio capture device generates two microphone beam patterns with different directivity indices. The audio capture device may determine the position of a user relative to the audio capture device based on sounds detected by the separate microphone beam patterns. Accordingly, the audio capture device allows the determination of the position of the user without the complexity and cost of using a dedicated listening device and/or a camera. In particular, the audio capture device does not need to be immediately proximate to the user (e.g., held near the ear of the user) and may be used to immediately provide other services to the user (e.g., audio/video playback, telephony functions, etc.). The position of the user may include the measured distance between the audio capture device and the user, the proximity of the user relative to another device/object, and/or the orientation of the user relative to the audio capture device.

An audio capture device generates two microphone beam patterns with different directivity indices. The audio capture device may determine the position of a user relative to the audio capture device based on sounds detected by the separate microphone beam patterns. Accordingly, the audio capture device allows the determination of the position of the user without the complexity and cost of using a dedicated listening device and/or a camera. In particular, the audio capture device does not need to be immediately proximate to the user (e.g., held near the ear of the user) and may be used to immediately provide other services to the user (e.g., audio/video playback, telephony functions, etc.). The position of the user may include the measured distance between the audio capture device and the user, the proximity of the user relative to another device/object, and/or the orientation of the user relative to the audio capture device.