Abstract: Apparatuses, systems, interfaces, and implementing methods including constructing training programs or routines and predictive training programs and routines implemented in a VR, AR, MR or XR environments, preparing non-predictive and/or predictive tools for use in predictive and/or non-predictive training programs or routines implemented in the VR/AR/MR/XR environments, converting non-computer assisted training programs into predictive and/or non-predictive training programs implemented in a VR and/or AR/MR/XR environments, and implementing avatars to assist trainees in performing training programs routines or any aspects thereof.

Abstract: Systems, interfaces, and methods for implementing the systems and interfaces include a dynamic environment generation subsystem that changes objects and subobjects based on locations of the motion sensors and/or the nature, time and/or location of sensed motion and include selection attractive movement as the selection protocol, where a selection object is used to discriminate between selectable objects and attract a target object toward the selection objects, where the direction and speed of the motion controls, discriminates, attracts, and activates the selected objects.

Abstract: Systems, interfaces, and methods for implementing the systems and interfaces include a dynamic environment generation subsystem that changes objects and subobjects based on locations of the motion sensors and/or the nature, time and/or location of sensed motion and include selection attractive movement as the selection protocol, where a selection object is used to discriminate between selectable objects and attract a target object toward the selection objects, where the direction and speed of the motion controls, discriminates, attracts, and activates the selected objects.

Abstract: Systems, apparatuses, interfaces, and methods for implementing the systems, apparatuses, and interfaces include capturing an image, displaying the image on a display devise, scanning and identifying objects and/or attributes associated with the image and/or objects therein, generating a 3D AR environment within the display overlaid on the image, generating a ray pointer for improved interaction with the image and the generated 3D AR environment, where the environment includes virtual constructs corresponding to the image objects and/or attributes, and selecting, activating, animating, and/or manipulating the virtual constructs within the 3D AR environment.

Abstract: Apparatuses, systems, interfaces, and methods for implementing the apparatuses, systems, and interfaces include: (a) a dynamic 3D environment generation subsystem including an eye or head tracking device, one or more motion sensors, one or more processors, and one or more display devices displaying bands superimposed on environment with bands that control movement through the environment; (b) training systems where trainer and trainee movement are superimposed and scaled to improve movement conformity and mastery of movements; and (c) eye or head tracking systems for selecting/activating/confirming icons or objects based on motion and micro duration holds.

Abstract: Apparatuses, systems, and interfaces and methods implementing them for creating. interacting, modifying, and updating 360 environments, the environments including a 360 display output overlaid with selectable and modifiable live feed panels and selectable and modifiable informational hot spots.

Abstract: Systems, interfaces, and methods for implementing the systems and interfaces include a dynamic environment generation subsystem that changes objects and subobjects based on locations of the motion sensors and/or the nature, time and/or location of sensed motion and include selection attractive movement as the selection protocol, where a selection object is used to discriminate between selectable objects and attract a target object toward the selection objects, where the direction and speed of the motion controls, discriminates, attracts, and activates the selected objects.

Abstract: Systems, apparatuses, interfaces, and methods for implementing the systems, apparatuses, and interfaces include capturing an image, displaying the image on a display devise, scanning and identifying objects and/or attributes associated with the image and/or objects therein, generating a 3D AR environment within the display overlaid on the image, generating a ray pointer for improved interaction with the image and the generated 3D AR environment, where the environment includes virtual constructs corresponding to the image objects and/or attributes, and selecting, activating, animating, and/or manipulating the virtual constructs within the 3D AR environment.

Abstract: Apparatuses and/or systems and/or interfaces and/or methods implementing them, including one or more processing systems; one or more monitoring subsystems; one or more data gathering/collection/capturing subsystems; one or more data analysis subsystems; and one or more data storage subsystems, wherein the apparatuses and/or systems and/or interfaces and/or methods implementing them to monitor user activities and interactions, gather/collect/capture user activity and interaction data, analyze the data, produce usable data outputs such as metrics, predictive rules, device, environment, behavioral, optimizers, real-time or near real-time device, environment, behavioral, optimizers, and store the usable data outputs.

Abstract: Systems, interfaces, and methods for implementing the systems and interfaces include a dynamic environment generation subsystem that changes objects and subobjects based on locations of the motion sensors and/or the nature, time and/or location of sensed motion and include selection attractive movement as the selection protocol, where a selection object is used to discriminate between selectable objects and attract a target object toward the selection objects, where the direction and speed of the motion controls, discriminates, attracts, and activates the selected objects.

Abstract: Systems, apparatuses, interfaces, and methods for implementing the systems, apparatuses, and interfaces include capturing an image, displaying the image on a display devise, scanning and identifying objects and/or attributes associated with the image and/or objects therein, generating a 3D AR environment within the display overlaid on the image, generating a ray pointer for improved interaction with the image and the generated 3D AR environment, where the environment includes virtual constructs corresponding to the image objects and/or attributes, and selecting, activating, animating, and/or manipulating the virtual constructs within the 3D AR environment.

Abstract: Apparatuses, systems, interfaces, and implementing methods including constructing training programs or routines and predictive training programs and routines implemented in a VR, AR, MR or XR environments, preparing non-predictive and/or predictive tools for use in predictive and/or non-predictive training programs or routines implemented in the VR/AR/MR/XR environments, converting non-computer assisted training programs into predictive and/or non-predictive training programs implemented in a VR and/or AR/MR/XR environments, and implementing avatars to assist trainees in performing training programs routines or any aspects thereof.

Abstract: Systems, interfaces, and methods for implementing the systems and interfaces include a dynamic environment generation subsystem that changes objects and subobjects based on locations of the motion sensors and/or the nature, time and/or location of sensed motion and include selection attractive movement as the selection protocol, where a selection object is used to discriminate between selectable objects and attract a target object toward the selection objects, where the direction and speed of the motion controls, discriminates, attracts, and activates the selected objects.

Abstract: Systems, apparatuses and interfaces and methods for implementing same including a mobile device having a camera system, where the systems, apparatuses, interfaces, and methods capture an image and embed the image into a background image selected from a group of background images generated by the systems, apparatuses, interfaces, and methods based on a location, a surroundings and an environment.

Abstract: Systems, apparatuses, interfaces, and methods for visualizing time progressions in VR/AR/MR/XR environments, wherein the systems include a processing unit or a processor, a display device, and at least one VR/AR/MR/XR input device, wherein the systems, apparatuses, interfaces, and methods display projects or structures that have tasks, goals, targets, and/or events that have or will occur in a given time sequence along a time line, wherein the systems and methods also display a selection and control object and a temporal direction and speed control object.

Abstract: Systems, apparatuses, interfaces, and methods for implementing the systems, apparatuses, and interfaces include capturing an image, displaying the image on a display devise, scanning and identifying objects and/or attributes associated with the image and/or objects therein, generating a 3D AR environment within the display overlaid on the image, generating a ray pointer for improved interaction with the image and the generated 3D AR environment, where the environment includes virtual constructs corresponding to the image objects and/or attributes, and selecting, activating, animating, and/or manipulating the virtual constructs within the 3D AR environment.

Abstract: Apparatuses, systems, and interfaces and methods implementing them, wherein apparatuses, systems, and interfaces are configured to assist or aide a user experiencing an adverse breathing event to reestablish a normal or healthy breathing rhythm or pattern quickly and efficiently via simulated breathing rhythms or patterns including audio recordings or simulations, visual recordings or simulations, audiovisual recordings or simulations, or avatar recordings or simulations.

Abstract: Systems, interfaces, and methods for implementing the systems and interfaces include a dynamic environment generation subsystem that changes objects and subobjects based on locations of the motion sensors and/or the nature, time and/or location of sensed motion and include selection attractive movement as the selection protocol, where a selection object is used to discriminate between selectable objects and attract a target object toward the selection objects, where the direction and speed of the motion controls, discriminates, attracts, and activates the selected objects.

Abstract: Systems, apparatuses, interfaces, and methods for visualizing time progressions in VR/AR/MR/XR environments, wherein the systems include a processing unit or a processor, a display device, and at least one VR/AR/MR/XR input device, wherein the systems, apparatuses, interfaces, and methods display projects or structures that have tasks, goals, targets, and/or events that have or will occur in a given time sequence along a time line, wherein the systems and methods also display a selection and control object and a temporal direction and speed control object.

Abstract: Systems, apparatuses, interfaces, and methods for visualizing time progressions in VR/AR/MR/XR environments, wherein the systems include a processing unit or a processor, a display device, and at least one VR/AR/MR/XR input device, wherein the systems, apparatuses, interfaces, and methods display projects or structures that have tasks, goals, targets, and/or events that have or will occur in a given time sequence along a time line, wherein the systems and methods also display a selection and control object and a temporal direction and speed control object.