Awareness Enhancement Mechanism

• US 20160163220A1
• Filed: 12/05/2014
• Published: 06/09/2016
• Est. Priority Date: 12/05/2014
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Kohlenberg, Tobias, Moran, Michael, Baron, Charles, Chadwick, Stephen
• Application Number:
  US14/561,556
• Publication Number:
  US 20160163220A1
• Time in Patent Office: Days
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F
• CPC Class Codes: G09B 5/06 with both visual and audible presentation of the material to be studied

Abstract

A mechanism is described to facilitate dynamic selection of avatars according to one embodiment. A method of embodiments, as described herein, includes acquiring sensory data, processing the sensory data to detect and identify one or more surrounding objects of which a user should be made aware, determining a relevance of the one or more objects and to prioritize relevant objects as events and providing feedback based on the events.

Claims

1. An apparatus to facilitate awareness enhancement, comprising:

a sensor array to acquire sensory data;

processing engine to process the sensory data to detect and identify one or more surrounding objects of which a user should be made aware;

prioritization logic to determine relevance of the one or more objects and to prioritize relevant objects as events; and

notification logic to provide feedback based on the events.

2. The apparatus of claim 1, wherein the processing engine tracks the surrounding objects to determine objects that are stationary and objects that are moving.

3. The apparatus of claim 1, wherein the prioritization logic generates job-specific rule sets to prioritize attention to events related to a scope of employment.

4. The apparatus of claim 1, wherein the events include at least one of a velocity of an oncoming object, a type of object, a size of the object.

5. The apparatus of claim 1, wherein the notification logic provides feedback in the form of selective audio amplification in order to augment and extend natural auditory awareness.

6. The apparatus of claim 1, wherein the notification logic provides feedback in the form of non-speech audio to convey perceptual data.

7. The apparatus of claim 1, further comprising training logic to implement a training mode to customize awareness enhancement.

8. The apparatus of claim 7, wherein the training logic determines a range of senses and how the range changes during activities.

9. The apparatus of claim 8, wherein the training logic performs reflex tests to determine an amount of forewarning to respond to events.

10. The apparatus of claim 7, wherein the training logic includes heuristic models to determine how awareness is impacted by activities.

11. The apparatus of claim 10, wherein the training logic applies the heuristic models to create a customized awareness map.

12. A method to facilitate awareness enhancement, comprising:

acquiring sensory data;

processing the sensory data to detect and identify one or more surrounding objects of which a user should be made aware;

determining a relevance of the one or more objects and to prioritize relevant objects as events; and

providing feedback based on the events.

13. The method of claim 12, further comprising tracking the surrounding objects to determine objects that are stationary and objects that are moving.

14. The method of claim 12, wherein the events include at least one of a velocity of an oncoming object, a type of object, a size of the object.

15. The method of claim 12, wherein the feedback is provided in the form of selective audio amplification in order to augment and extend natural auditory awareness.

16. The method of claim 12, wherein the feedback is provided in the form of non-speech audio to convey perceptual data.

17. The method of claim 12, further comprising performing training to customize awareness enhancement.

18. The method of claim 17, wherein the training comprises determining a range of senses and how the range changes during activities.

19. The method of claim 17, wherein the training comprises performing reflex tests to determine an amount of forewarning to respond to events.

20. The method of claim 17, wherein the training comprises performing applying heuristic models to create a customized awareness map.

21. At least one machine-readable medium comprising a plurality of instructions that in response to being executed on a computing device, causes the computing device to carry out operations comprising:

acquiring sensory data;

processing the sensory data to detect and identify one or more surrounding objects of which a user should be made aware;

determining a relevance of the one or more objects and to prioritize relevant objects as events; and

providing feedback based on the events.

22. The machine-readable medium of claim 21, comprising a plurality of instructions that in response to being executed on a computing device, causes the computing device to further carry out operations comprising tracking the surrounding objects to determine objects that are stationary and objects that are moving.

23. The machine-readable medium of claim 21, comprising a plurality of instructions that in response to being executed on a computing device, causes the computing device to further carry out operations comprising performing training to customize awareness enhancement.

24. The machine-readable medium of claim 23, wherein the training comprises determining a range of senses and how the range changes during activities.

25. The machine-readable medium of claim 24, wherein the training comprises performing reflex tests to determine an amount of forewarning to respond to events.