Abstract: A method for execution by a computing entity for producing a virtual reality environment includes acquiring laser scan digital image data of an environment object obtained and matching the image data to a digital image representation of an impairment. The method further includes matching digital sound sensor information of the environment object to a digital sound representation of the impairment and determining a similarity score to a stored impairment audio profile that exceeds a threshold. The method further includes obtaining bullet-points regarding the impairment and generating a model that enables subsequent rendering of video frames to represent the impairment pertaining to the bullet-points. The method further includes rendering the model to form video frames depicting the impairment for the virtual reality environment.

Abstract: A method executed by a computing entity includes generating a virtual reality environment by generating models of a representation of bullet points associated with a topic. The method further includes identifying a priority asset and rendering a model of the priority asset for the bullet points utilizing a first level of resolution. The method further includes rendering a subsequent portion of the models that excludes the model of the priority asset utilizing a second level of resolution within the virtual reality environment. The second level of resolution is a lower video resolution level than the first level of resolution, thereby reducing processor and reducing video graphics module memory bandwidth.

Abstract: A method to validate, accredit, and publish a lesson-package non-fungible token (NFT) with tamper-evident provenance on an object distributed ledger includes a computing device determining selecting a set of learning objects based on determined effectiveness metrics to produce a lesson package. The method further includes interpreting a request from a learning object owner computing device to make available for licensing a set of learning objects and generating a canonical representation of an object basics record including a per-learning-object manifest that lists cryptographic hashes of the descriptive asset digital video frames and associated metadata for the set of learning objects. The method further includes validating the object basics record and generating a non-fungible token to represent the set of learning objects.

Abstract: A method executed by a computing entity includes generating a virtual reality environment utilizing a group of object representations by obtaining a first conveyance effectiveness level for a first portrayal of a first set of object representations within the virtual reality environment. The method further includes determining an updated first set of object representations based on the first conveyance effectiveness level. The method further includes rendering a representation of the updated first set of object representations to produce a first portion of video frames for a second portrayal of the first set of object representations for the virtual reality environment. The method further includes linking the first portion of the video frames with a second portion of video frames for a second portrayal of a second set of object representations for the virtual reality environment to produce the virtual reality environment.

Abstract: A method executed by a computing entity includes generating a virtual reality environment utilizing a group of object representations by identifying a set of common illustrative assets and rendering the assets utilizing a first level of resolution to produce a set of common illustrative assets video frames. The method further includes selecting a subset of the set of common illustrative assets video frames to produce a common portion of video frames and rendering another representation of sets of object representations utilizing the first level of resolution to produce remaining portions of the video frames. The method further includes linking the common portion and the remaining portions to produce a first level of resolution of the virtual reality environment. The method further includes generating a second level of resolution of the virtual reality environment based on a priority asset of the set of common illustrative assets.

Abstract: Aspects of the subject disclosure may include, for example, co-registering MRI data with CT data to derive merged data, the MRI data and the CT data being associated with an anatomical part of a patient, the MRI data being obtained prior to implantation of a plurality of electrodes into the anatomical part and the CT data being obtained after the implantation of the plurality of electrodes, performing segmentation on the merged data to identify locations of the plurality of electrodes, resulting in identified locations, localizing a region of interest in the merged data based on the identified locations of the plurality of electrodes and based on activity recordings relating to the anatomical part, and generating a model of the anatomical part by performing multimodal image fusion of the activity recordings and the merged data to derive an output for VR viewing or manipulation. Additional embodiments are disclosed.

Abstract: A method for execution by a computing entity for creating first and second learning objects for an assembly topic based on learning assessment results associated with previous interactive consumption by a previous learning entity. The method further includes rendering an illustrative asset for the learning objects to produce a set of illustrative asset video frames. The method further includes including a common subset of the illustrative asset video frames along with unique remaining portions of descriptive asset video frames in the learning objects. The method further includes outputting the descriptive asset video frames to facilitate interactive consumption by a present learning entity. The method further includes determining learning assessment results associated with the interactive consumption by the present learning entity.

Abstract: A method executed by a computing entity includes generating a virtual reality environment utilizing a group of object representations by identifying a set of common illustrative assets and rendering the assets utilizing a first level of resolution to produce a set of common illustrative assets video frames. The method further includes selecting a subset of the set of common illustrative assets video frames to produce a common portion of video frames and rendering another representation of sets of object representations utilizing the first level of resolution to produce remaining portions of the video frames. The method further includes linking the common portion and the remaining portions to produce a first level of resolution of the virtual reality environment. The method further includes generating a second level of resolution of the virtual reality environment based on a priority asset of the set of common illustrative assets.

Abstract: A method executed by a computing device includes generating a virtual reality environment utilizing first and second sets of object representations by identifying a common illustrative asset based on the first and second set of object representations. The method further includes rendering the common illustrative asset to produce a set of illustrative asset video frames that include a common portion of video frames for the virtual reality environment. The method further includes rendering portions of at least one object representation of the first and second sets of object representations to produce first and second remaining portions of the video frames. The method further includes linking the common portion, the first remaining portion, and the second remaining portion of the video frames to produce the virtual reality environment.

Abstract: A method executed by a computing entity includes generating a virtual reality environment utilizing a group of object representations by identifying three dimensional (3-D) physical objects corresponding to the group of object representations. The method further includes obtaining the group of object representations for the 3-D physical objects. The method further includes interpreting a first piece of information and a second piece of information to produce interaction information. The method further includes rendering, the group of object representations in accordance with the interaction information to produce 3-D video frames portraying the first piece of information and the second piece of information within the virtual reality environment.

Abstract: A method includes a computing device of a computing infrastructure identifying a non-fungible token (NFT) associated with a set of learning objects and establishing, with a user computing device, agreed licensing terms utilizing licensee information and based on available licensing terms of a smart contract for the set of learning objects. The method further includes generating a license smart contract for the set of learning objects to include the licensee information and the agreed licensing terms and causing generation of a license block affiliated with the NFT via a blockchain of the object distributed ledger.

Abstract: An anatomy of interest, such as the aortic arch, is automatically segmented from magnetic resonance imaging (MRI) data. The segmented anatomy volume is then processed to track or otherwise determine a centerline of the anatomy volume. Based on this centerline, quantitative measures of the anatomy of interest can be computed. The resulting segmented anatomy volume, centerline, and/or quantitative measures can then be displayed to a user or stored for later use and/or processing. The segmented anatomy volume, centerline tracking and quantitative measures can be monitored to determine longitudinal deformations in the subject relative to previous measures from the subject, or relative to normative measures from an age-matched, sex-matched, race-matched, and/or disease-matched cohort.

Abstract: A method for execution by a computing entity for creating first and second learning objects for an assembly topic. The method further includes rendering an illustrative asset for the learning objects to produce a set of illustrative asset video frames. The method further includes including a common subset of the illustrative asset video frames along with unique remaining portions of descriptive asset video frames in the learning objects. The method further includes outputting the descriptive asset video frames to facilitate interactive consumption by a learning entity. The method further includes determining learning assessment results associated with the interactive consumption by the learning entity.

Abstract: A method for execution by a computer generating a virtual reality environment utilizing a group of object representations by identifying an exclusion asset and modifying a set of common illustrative assets to exclude the exclusion asset to produce a redacted set of common illustrative assets. The method further includes rendering a portion of the redacted set of common illustrative asset to produce a redacted set of common illustrative asset video frames and selecting a subset of the redacted set of common illustrative asset video frames to produce a common portion of video frames for the virtual reality environment. The method further includes rendering representations of object representations to produce remaining portions of the video frames for the virtual reality environment. The method further includes linking the common portion and the remaining portions of the video frames to produce the virtual reality environment for interactive consumption.

Abstract: A method executed by a computing device includes generating a virtual reality environment utilizing first and second sets of object representations by identifying a common illustrative asset based on the first and second set of object representations. The method further includes rendering the common illustrative asset to produce a set of illustrative asset video frames for selecting a common portion of video frames for the virtual reality environment. The method further includes rendering portions of at least one object representation of the first and second sets of object representations to produce first and second remaining portions of the video frames. The method further includes linking the common portion, the first remaining portion, and the second remaining portion of the video frames to produce the virtual reality environment.

Abstract: A method for execution by a computing entity to create a virtual reality environment regarding an abstract environment topic includes identifying an abstract concept regarding first and second pieces of information regarding the abstract environment topic. The method further includes generating conceptual objects of a group of object representations based on the abstract concept. The method further includes rending the conceptual objects to produce video frames for the virtual reality environment.

Abstract: A method executed by a computing entity includes generating a virtual reality environment utilizing a group of object representations by identifying three dimensional (3-D) physical objects corresponding to the group of object representations. The method further includes obtaining the group of object representations for the 3-D physical objects. The method further includes interpreting a first piece of information and a second piece of information to produce interaction information. The method further includes rendering, the group of object representations in accordance with the interaction information to produce 3-D video frames portraying the first piece of information and the second piece of information within the virtual reality environment.

Abstract: A method includes a computing device interpreting a request for a requesting entity to access a set of learning objects pertaining to a common topic represented in a virtual reality environment to produce a set of requested learning object identifiers. The method further includes determining whether a license smart contract for the set of learning objects associated with a non-fungible token of the object distributed ledger affirms access by the requesting entity to the set of learning objects. When access is affirmed, the method further includes generating the virtual reality environment utilizing a group of object representations in accordance with interaction information for at least some of the object representations of the group of object representations. The method further includes outputting the virtual reality environment to the requesting entity for interactive consumption.

Abstract: A method for execution by a computer generating a virtual reality environment utilizing a group of object representations by identifying an exclusion asset and modifying a set of common illustrative assets to exclude the exclusion asset to produce a redacted set of common illustrative assets. The method further includes rendering a portion of the redacted set of common illustrative asset to produce a redacted set of common illustrative asset video frames and selecting a subset of the redacted set of common illustrative asset video frames to produce a common portion of video frames for the virtual reality environment. The method further includes rendering representations of object representations to produce remaining portions of the video frames for the virtual reality environment. The method further includes linking the common portion and the remaining portions of the video frames to produce the virtual reality environment for interactive consumption.

Abstract: A method for execution by a computing entity for creating a learning tool regarding a topic includes issuing a representation of a first set of physicality assessment assets of a first learning object to a second computing entity. The method further includes obtaining a first assessment response in response to the representation of the first set of physicality assessment assets. The method further includes determining an undesired performance aspect of the first assessment response. The method further includes updating at least one of the first learning object and a second learning object based on the undesired performance aspect to facilitate improved performance of a subsequent assessment response.