Abstract: Systems and methods for depth plane selection in display system such as augmented reality display systems, including mixed reality display systems, are disclosed. A display(s) may present virtual image content via image light to an eye(s) of a user. The display(s) may output the image light to the eye(s) of the user, the image light to have different amounts of wavefront divergence corresponding to different depth planes at different distances away from the user. A camera(s) may capture images of the eye(s). An indication may be generated based on obtained images of the eye(s), indicating whether the user is identified. The display(s) may be controlled to output the image light to the eye(s) of the user, the image light to have the different amounts of wavefront divergence based at least in part on the generated indication indicating whether the user is identified.

Abstract: Systems and methods for depth plane selection in display system such as augmented reality display systems, including mixed reality display systems, are disclosed. A display(s) may present virtual image content via image light to an eye(s) of a user. The display(s) may output the image light to the eye(s) of the user, the image light to have different amounts of wavefront divergence corresponding to different depth planes at different distances away from the user. A camera(s) may capture images of the eye(s). An indication may be generated based on obtained images of the eye(s), indicating whether the user is identified. The display(s) may be controlled to output the image light to the eye(s) of the user, the image light to have the different amounts of wavefront divergence based at least in part on the generated indication indicating whether the user is identified.

Abstract: Systems and methods for depth plane selection in display system such as augmented reality display systems, including mixed reality display systems, are disclosed. A display(s) may present virtual image content via image light to an eye(s) of a user. The display(s) may output the image light to the eye(s) of the user, the image light to have different amounts of wavefront divergence corresponding to different depth planes at different distances away from the user. A camera(s) may capture images of the eye(s). An indication may be generated based on obtained images of the eye(s), indicating whether the user is identified. The display(s) may be controlled to output the image light to the eye(s) of the user, the image light to have the different amounts of wavefront divergence based at least in part on the generated indication indicating whether the user is identified.

Abstract: The example embodiments are directed to a system and method that applies knowledge developed by a subject matter expert with respect to a physical asset. In one example, the method includes receiving knowledge and issue resolution information developed of subject matter experts in association with historical issues for an asset, generating a plurality of data clusters for the asset based on the knowledge, wherein each historical issue of the asset is mapped to a cluster and includes a plurality of resolutions for the issue, receiving a new issue and new issue information, and processing the new issue by extracting keywords from the new issue information and assigning the new issue to a data cluster from among the plurality of data clusters based on the extracted keywords, and outputting, to a display, a cause of the new issue and potential solutions for the new issue.

Abstract: Systems and methods for depth plane selection in display system such as augmented reality display systems, including mixed reality display systems, are disclosed. A display(s) may present virtual image content via image light to an eye(s) of a user. The display(s) may output the image light to the eye(s) of the user, the image light to have different amounts of wavefront divergence corresponding to different depth planes at different distances away from the user. A camera(s) may capture images of the eye(s). An indication may be generated based on obtained images of the eye(s), indicating whether the user is identified. The display(s) may be controlled to output the image light to the eye(s) of the user, the image light to have the different amounts of wavefront divergence based at least in part on the generated indication indicating whether the user is identified.

Abstract: The example embodiments are directed to a system and method that applies knowledge developed by a subject matter expert with respect to a physical asset. In one example, the method includes receiving knowledge and issue resolution information developed of subject matter experts in association with historical issues for an asset, generating a plurality of data clusters for the asset based on the knowledge, wherein each historical issue of the asset is mapped to a cluster and includes a plurality of resolutions for the issue, receiving a new issue and new issue information, and processing the new issue by extracting keywords from the new issue information and assigning the new issue to a data cluster from among the plurality of data clusters based on the extracted keywords, and outputting, to a display, a cause of the new issue and potential solutions for the new issue.

Abstract: Systems and methods for depth plane selection in display system such as augmented reality display systems, including mixed reality display systems, are disclosed. A display(s) may present virtual image content via image light to an eye(s) of a user. The display(s) may output the image light to the eye(s) of the user, the image light to have different amounts of wavefront divergence corresponding to different depth planes at different distances away from the user. A camera(s) may capture images of the eye(s). An indication may be generated based on obtained images of the eye(s), indicating whether the user is identified. The display(s) may be controlled to output the image light to the eye(s) of the user, the image light to have the different amounts of wavefront divergence based at least in part on the generated indication indicating whether the user is identified.

Abstract: Systems and methods for depth plane selection in display system such as augmented reality display systems, including mixed reality display systems, are disclosed. A display(s) may present virtual image content via image light to an eye(s) of a user. The display(s) may output the image light to the eye(s) of the user, the image light to have different amounts of wavefront divergence corresponding to different depth planes at different distances away from the user. A camera(s) may capture images of the eye(s). An indication may be generated based on obtained images of the eye(s), indicating whether the user is identified. The display(s) may be controlled to output the image light to the eye(s) of the user, the image light to have the different amounts of wavefront divergence based at least in part on the generated indication indicating whether the user is identified.

Abstract: Systems and methods for depth plane selection in display system such as augmented reality display systems, including mixed reality display systems, are disclosed. A display(s) may present virtual image content via image light to an eye(s) of a user. The display(s) may output the image light to the eye(s) of the user, the image light to have different amounts of wavefront divergence corresponding to different depth planes at different distances away from the user. A camera(s) may capture images of the eye(s). An indication may be generated based on obtained images of the eye(s), indicating whether the user is identified. The display(s) may be controlled to output the image light to the eye(s) of the user, the image light to have the different amounts of wavefront divergence based at least in part on the generated indication indicating whether the user is identified.

Abstract: A method of emotive autography includes calculating a plurality of classifiers associated with an individual user. Each of the classifiers indicates a preference of the user for an associated type of multimedia content. Multimedia data is received including video data, audio data and/or image data. The multimedia data is divided into semantically similar segments. A respective preference score is assigned to each of the semantically similar segments by use of the classifiers. The semantically similar segments are arranged in a sequential order dependent upon the preference scores. An emotive autograph is presented based on the semantically similar segments arranged in the sequential order.

Abstract: The example embodiments are directed to a system and method that applies knowledge developed by a subject matter expert with respect to a physical asset. In one example, the method includes receiving knowledge and issue resolution information developed of subject matter experts in association with historical issues for an asset, generating a plurality of data clusters for the asset based on the knowledge, wherein each historical issue of the asset is mapped to a cluster and includes a plurality of resolutions for the issue, receiving a new issue and new issue information, and processing the new issue by extracting keywords from the new issue information and assigning the new issue to a data cluster from among the plurality of data clusters based on the extracted keywords, and outputting, to a display, a cause of the new issue and potential solutions for the new issue.

Abstract: The example embodiments are directed to a device and method for determining a root cause of equipment failure. In one example, the method includes storing a plurality of root causes of previous equipment failures, receiving textual data associated with a current equipment failure, determining a root cause for the current equipment failure by determining a similarity of keywords of each root cause with respect to the received textual data of the current equipment failure and selecting at least one root cause based on the determined similarities of the plurality of root causes, and displaying the at least one determined root cause for the current equipment failure via a display device. The example embodiments provide a system and method that automatically determine a root cause of equipment failure rather than rely on a subject matter expert.

Abstract: The example embodiments are directed to a system and method that applies knowledge developed by a subject matter expert with respect to a physical asset. In one example, the method includes receiving knowledge and issue resolution information developed of subject matter experts in association with historical issues for an asset, generating a plurality of data clusters for the asset based on the knowledge, wherein each historical issue of the asset is mapped to a cluster and includes a plurality of resolutions for the issue, receiving a new issue and new issue information, and processing the new issue by extracting keywords from the new issue information and assigning the new issue to a data cluster from among the plurality of data clusters based on the extracted keywords, and outputting, to a display, a cause of the new issue and potential solutions for the new issue.

Abstract: The example embodiments are directed to a system and method for determining the health of a cutting tool used in milling operations or the like. In one example, the method may include receiving operating characteristics of a cutting machine which are captured during an iteration of a cutting operation, generating a signature pattern associated with the cutting machine based on the operating characteristics, the signature pattern representing a unique pattern of the operating characteristics of the cutting machine during the cutting operation, determining health information of a cutting tool of the cutting machine based on the signature pattern and a benchmark signature pattern, and outputting the determined health information of the cutting tool for display on a display device. Accordingly, a cutting tool can be replaced at the optimum time thereby improving productivity and conserving cost.

Abstract: The example embodiments are directed to a system and method that applies knowledge developed by a subject matter expert with respect to a physical asset. In one example, the method includes receiving knowledge and issue resolution information developed of subject matter experts in association with historical issues for an asset, generating a plurality of data clusters for the asset based on the knowledge, wherein each historical issue of the asset is mapped to a cluster and includes a plurality of resolutions for the issue, receiving a new issue and new issue information, and processing the new issue by extracting keywords from the new issue information and assigning the new issue to a data cluster from among the plurality of data clusters based on the extracted keywords, and outputting, to a display, a cause of the new issue and potential solutions for the new issue.

Abstract: The example embodiments are directed to a device and method for preserving and applying the knowledge of a subject matter expert with respect to material and equipment based assets. In one example, the method includes receiving knowledge of a subject matter expert with respect to one or more previous failures of a type of asset, clustering the knowledge into causes of failure, extracting features from the causes to generate a subject matter expert determination mapping, receiving failure information of an asset of a same type as a type of asset associated with the knowledge of the subject matter expert, processing the failure information based on the subject matter expert determination mapping to determine a cause of the failure for the asset, and outputting the determined cause to a display.

Abstract: The example embodiments are directed to a device and method for determining a root cause of equipment failure. In one example, the method includes storing a plurality of root causes of previous equipment failures, receiving textual data associated with a current equipment failure, determining a root cause for the current equipment failure by determining a similarity of keywords of each root cause with respect to the received textual data of the current equipment failure and selecting at least one root cause based on the determined similarities of the plurality of root causes, and displaying the at least one determined root cause for the current equipment failure via a display device. The example embodiments provide a system and method that automatically determine a root cause of equipment failure rather than rely on a subject matter expert.

Abstract: A method of emotive autography includes calculating a plurality of classifiers associated with an individual user. Each of the classifiers indicates a preference of the user for an associated type of multimedia content. Multimedia data is received including video data, audio data and/or image data. The multimedia data is divided into semantically similar segments. A respective preference score is assigned to each of the semantically similar segments by use of the classifiers. The semantically similar segments are arranged in a sequential order dependent upon the preference scores. An emotive autograph is presented based on the semantically similar segments arranged in the sequential order.