Monitoring support element strain to determine real-time positional relationships between positionally sensitive device components

A Near-Eye-Display (NED) device, comprising:

• a display component that is configured to project computer generated images (CGIs) toward at least one eye of a user;
• one or more support elements that support the display component;
• one or more displacement sensors to generate displacement data that is indicative of a real-time positional relationship between the display component and a reference node, wherein the reference node corresponds to a portion of the NED device that is configured to be mounted against a body part of the user to support the display component within a field-of-view (FOV) of the user;
• one or more processors;
• a memory in communication with the one or more processors, the memory having computer-readable instructions stored thereupon which, when executed by the one or more processors, cause the one or more processors to:
• receive image data that defines a particular CGI for display via the display component, wherein the image data indicates location parameters associated with placing the particular CGI within the field-of-view (FOV) of the user;
• receive, from the one or more displacement sensors, the displacement data that is indicative of the real-time positional relationship between the display component and the reference node;
• determine a particular location of the display component to render the particular CGI based at least in part on:
• the location parameters, and
• the real-time positional relationship between the display component and the reference node;
• and
• generate a projection of the particular CGI at the particular location of the display component.

A computer-implemented method, comprising:

• receiving displacement data from one or more displacement sensors coupled to one or more support elements, the displacement data indicating a real-time positional relationship between a first sensor component and a second sensor component;
• receiving tracking data from at least one of the first sensor component or the second sensor component, the tracking data generated in association with an environment-tracking function for mapping a real-world environment;
• and
• generating point cloud data that defines three-dimensional locations for a plurality of points that are dimensionally representative of an object within the real-world environment, wherein the generating the point cloud data is based on:
• the displacement data indicating the real-time positional relationship between the first sensor component and the second sensor component, and
• the tracking data that is received from at least one of the first sensor component or the second sensor component.