A computing system with multiple devices local to an environment facilitates active transfer among the multiple devices as a user moves about the environment. The devices may sense a presence or non-presence of the user and attempt to coordinate transfer to a device proximal to the user. In another implementation, the devices may communicate with a remote system that monitors a location of the user within the environment and causes content associated with the user to transfer between computing devices of the system based on the location and movement of the user.

Novel techniques and equipment for anchoring a boat include sensing and measuring the real time rate and length of rode release based on detecting real time changes in the angular position of a windlass by computer vision using a portable computing device. Rode release is also detected using novel methods based on sensing sound, rode chain movement, and sensing acceleration and/or motion. The apparatus can include software operable to provide safe anchoring based on monitoring real times values of the rate and length of rode release, comparing these values to the speed and position of the boat, and providing local and remote status and alarm information to crew members.

A mobile body detection device: determines, in the case where a position of a first mobile body and a position of a second mobile body are approximately the same, that a mobile body is detected at the position; and determines, in the case where the position of the first mobile body and the position of the second mobile body are different and any of first reliability and second reliability exceeds a threshold, that a mobile body is detected at a position of a mobile body corresponding to the reliability exceeding the threshold.

A mobile body detection device: determines, in the case where a position of a first mobile body and a position of a second mobile body are approximately the same, that a mobile body is detected at the position; and determines, in the case where the position of the first mobile body and the position of the second mobile body are different and any of first reliability and second reliability exceeds a threshold, that a mobile body is detected at a position of a mobile body corresponding to the reliability exceeding the threshold.

An audio system for a wearable device dynamically updates acoustic transfer functions. The audio system is configured to estimate a direction of arrival (DoA) of each sound source detected by a microphone array relative to a position of the wearable device within a local area. The audio system may track the movement of each sound source. The audio system may form a beam in the direction of each sound source. The audio system may identify and classify each sound source based on the sound source properties. Based on the DoA estimates, the movement tracking, and the beamforming, the audio system generates or updates the acoustic transfer functions for the sound sources.

An apparatus for spatial audio signal processing, the apparatus including at least one processor and at least one memory including a computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to: receive audio signals from a microphone array, the microphone array including three or more microphones forming a geometry with defined displacements between pairs of the three or more microphones; determine delay information between audio signals associated with the pairs of the three or more microphones; determine an operator based on the geometry with defined displacements between the pairs of the three or more microphones; apply the operator to the delay information to generate at least one direction parameter associated with the audio signals.

A mobile body detection means 85: determines, in the case where a position of a first mobile body and a position of a second mobile body are approximately the same, that a mobile body is detected at the position; and determines, in the case where the position of the first mobile body and the position of the second mobile body are different and any of first reliability and second reliability exceeds a threshold, that a mobile body is detected at a position of a mobile body corresponding to the reliability exceeding the threshold.

A mobile body detection means 85: determines, in the case where a position of a first mobile body and a position of a second mobile body are approximately the same, that a mobile body is detected at the position; and determines, in the case where the position of the first mobile body and the position of the second mobile body are different and any of first reliability and second reliability exceeds a threshold, that a mobile body is detected at a position of a mobile body corresponding to the reliability exceeding the threshold.

An audio processing device that determines a correlation between a location of a source of the audio signal associated with the audio command, and a human positioned at the location of the source of the audio signal associated with the audio command. The audio command is identified as originating from the human positioned at the location based on the position data and the location of the source of the audio signal associated with the audio command correlating. Based on identifying the audio command as originating from the human positioned at the location, the audio command is executed.

A device has a microphone array that acquires sound data and a camera that acquires image data. A portion of the device may be moveable by one or more actuators. Responsive to the user, the portion of the device is moved toward an estimated direction of the user. The estimated direction is based on sensor data including the sound data and the image data. First variance values for individual sound direction values are calculated. Data derived from the image data or data from other sensors may be used to modify the first variance values and determine second data comprising second variances. The second data may be processed to determine the estimated direction of the user. For example, the second data may be processed by both a forward and a backward Kalman filter, and the output combined to determine an estimated direction toward the user.