Demonstration devices and methods for enhancement for low vision users and systems improvements
A visual aid provides utility to its users by performing geometric transformations of raw images from a digital camera into processed images for electronic display, via three nested levels of “implementation” namely, the nature of the mapping that will be applied, i.e. specifying a specific mapping or parameterized family of mappings; the algorithm set used to effect the select mapping, independent of the processor upon which it executes; and the method for realizing this algorithm on that processor. Likewise offered for consideration are software feature sets tied to user interface which enable dynamic tuning of the subject visual context and environments for low vision users, Inter Alia.
1. A method of modeling a focus of attention of a user with a head-mounted visual aid device, comprising the steps of:
capturing real-time video images with a camera of the head-mounted visual aid device;
applying a magnification coefficient to the real-time video images;
sensing at least one movement parameter of the head-mounted visual aid device over a first time period with at least one sensor of the head-mounted visual aid device;
analyzing in a processor of the head-mounted visual aid device the at least one movement parameter and the magnification coefficient over the first time period to determine a focus of attention state of user; and
updating a focus of attention model of the user with the focus of attention state.
2. The method of claim 1 , wherein the focus of attention state indicates that the user is engaged in deliberate movements.
3. The method of claim 2 , further comprising updating the focus of attention model such that a focus of attention (FOA) of the user matches a camera axis of the camera.
4. The method of claim 2 , wherein the deliberate movements are consistent with a panning movement of the user.
5. The method of claim 2 , wherein the deliberate movements are consistent with a reading movement of the user.
6. The method of claim 1 , wherein the focus of attention state indicates that the user is engaged in inadvertent movements.
7. The method of claim 6 , further comprising activating electronic image stabilization in the head-mounted visual aid device to apply electronic image stabilization to the real-time video images.
8. The method of claim 6 , further comprising updating the focus of attention model such that a focus of attention (FOA) of the user comprises a desired gaze direction different than a camera axis of the camera.
9. The method of claim 1 , wherein the at least one movement parameter comprises an acceleration of the head-mounted visual aid device.
10. The method of claim 1 , wherein the at least one movement parameter comprises a rotation of the head-mounted visual aid device.
11. The method of claim 1 , wherein the first time period does not exceed a video frame time of the camera.
12. A method of modeling a focus of attention of a user with a head-mounted visual aid device, comprising the steps of:
capturing real-time video images with a camera of the head-mounted visual aid device;
sensing at least one movement parameter of the head-mounted visual aid device over a first time period with at least one sensor of the head-mounted visual aid device;
analyzing in a processor of the head-mounted visual aid device the at least one movement parameter over the first time period to determine a focus of attention state of user, wherein the focus of attention state of the user indicates that the user is engaged in deliberate movements; and
updating a focus of attention model of the user with the focus of attention state such that a focus of attention (FOA) of the user matches a camera axis of the camera.
13. The method of claim 12 , wherein the deliberate movements are consistent with a panning movement of the user.
14. The method of claim 12 , wherein the deliberate movements are consistent with a reading movement of the user.
15. A method of modeling a focus of attention of a user with a head-mounted visual aid device, comprising the steps of:
capturing real-time video images with a camera of the head-mounted visual aid device;
sensing at least one movement parameter of the head-mounted visual aid device over a first time period with at least one sensor of the head-mounted visual aid device;
analyzing in a processor of the head-mounted visual aid device the at least one movement parameter over the first time period to determine a focus of attention state of user, wherein the focus of attention state of the user indicates that the user is engaged in inadvertent movements;
updating a focus of attention model of the user with the focus of attention state; and
activating electronic image stabilization in the head-mounted visual aid device to apply electronic image stabilization to the real-time video images.
16. The method of claim 15 , further comprising updating the focus of attention model such that a focus of attention (FOA) of the user comprises a desired gaze direction different than a camera axis of the camera.
17. A method of modeling a focus of attention of a user with a head-mounted visual aid device, comprising the steps of:
capturing real-time video images with a camera of the head-mounted visual aid device;
sensing at least one movement parameter of the head-mounted visual aid device over a first time period with at least one sensor of the head-mounted visual aid device;
analyzing in a processor of the head-mounted visual aid device the at least one movement parameter over the first time period to determine a focus of attention state of user, wherein the focus of attention state of the user indicates that the user is engaged in inadvertent movements;
updating a focus of attention model of the user with the focus of attention state such that a focus of attention (FOA) of the user comprises a desired gaze direction different than a camera axis of the camera.
18. A method of modeling a focus of attention of a user with a head-mounted visual aid device, comprising the steps of:
capturing real-time video images with a camera of the head-mounted visual aid device;
sensing at least one movement parameter of the head-mounted visual aid device over a first time period with at least one sensor of the head-mounted visual aid device, wherein the first time period does not exceed a video frame time of the camera;
analyzing in a processor of the head-mounted visual aid device the at least one movement parameter over the first time period to determine a focus of attention state of user; and
updating a focus of attention model of the user with the focus of attention state.