Abstract: Techniques for performing fine-scale movement tracking of underwater objects are described. A computing device or system may receive timestamps corresponding to acoustic signals detected using an underwater acoustic receiver. The device or system may select a period of a known acoustic transmitter, and generate raw image data plotting the timestamps as graphical elements with respect to a first axis corresponding to linear time, and a second axis having a magnitude corresponding to the selected period. A first machine learning (ML) model may process the raw image data to generate segmented image data include a subset of the graphical elements determined to correspond to the selected period. A portion of the segmented image data, including the graphical elements, may be input to a second ML model to generate image data comprising a subset of the graphical elements corresponding to the selected period.

Abstract: Techniques for performing fine-scale movement tracking of underwater objects are described. A computing device or system may receive timestamps corresponding to acoustic signals detected using an underwater acoustic receiver. The device or system may select a period of a known acoustic transmitter, and generate raw image data plotting the timestamps as graphical elements with respect to a first axis corresponding to linear time, and a second axis having a magnitude corresponding to the selected period. A first machine learning (ML) model may process the raw image data to generate segmented image data include a subset of the graphical elements determined to correspond to the selected period. A portion of the segmented image data, including the graphical elements, may be input to a second ML model to generate image data comprising a subset of the graphical elements corresponding to the selected period.

Abstract: A computing system and method for producing and consuming metadata within multi-dimensional data is provided. The computing system comprising a see-through display, a sensor system, and a processor configured to: in a recording phase, generate an annotation at a location in a three dimensional environment, receive, via the sensor system, a stream of telemetry data recording movement of a first user in the three dimensional environment, receive a message to be recorded from the first user, and store, in memory as annotation data for the annotation, the stream of telemetry data and the message, and in a playback phase, display a visual indicator of the annotation at the location, receive a selection of the visual indicator by a second user, display a simulacrum superimposed onto the three dimensional environment and animated according to the telemetry data, and present the message via the animated simulacrum.

Abstract: A computing system and method for producing and consuming metadata within multi-dimensional data is provided. The computing system comprising a see-through display, a sensor system, and a processor configured to: in a recording phase, generate an annotation at a location in a three dimensional environment, receive, via the sensor system, a stream of telemetry data recording movement of a first user in the three dimensional environment, receive a message to be recorded from the first user, and store, in memory as annotation data for the annotation, the stream of telemetry data and the message, and in a playback phase, display a visual indicator of the annotation at the location, receive a selection of the visual indicator by a second user, display a simulacrum superimposed onto the three dimensional environment and animated according to the telemetry data, and present the message via the animated simulacrum.

Abstract: A software based method of automatically recording and scoring tests is practiced on a system including a computer, a digital pen and a sheet of digitized paper, the method first establishing a number of virtual fields on the digitized paper, each which may contain either one allowable mark, or a multiplicity of allowable marks, marking of the paper using the digital pen, and for each such mark determining the field in which the mark is made, if the field may contain only one allowable mark, then recording that mark, and if the field may contain more than one allowable mark, then using character recognition means to identify the mark, and then calculating a test result based on the marks made, the characters corresponding to each, and a scoring protocol.