Multi-media object identification system with comparative magnification response and self-evolving scoring

• US 20100227297A1
• Filed: 09/20/2006
• Published: 09/09/2010
• Est. Priority Date: 09/20/2005
• Status: Abandoned Application

• Current Assignee: Raydon Corporation (By Light Professional IT Services, LLC)
• Original Assignee: Raydon Corporation (By Light Professional IT Services, LLC)
• Inventors: Hollister, Brad Eric, Sansing, Teri, Harvey, Robert L. JR., Scarcelli, Greg, Meddaugh, Michael, Panfilio, Keith David
• Application Number:
  US11/523,739
• Publication Number:
  US 20100227297A1
• Time in Patent Office: Days
• US Class Current: 434/11
• CPC Class Codes: G09B 9/08 for teaching control of aircraft, e.g. Link trainer
• CPC Class Codes: G09B 9/301 by computer-processed or -generated image

Abstract

A multi-media/simulation training system, in conjunction with a specifically developed and utilized training process, that improves target recognition skills and enhances gunnery training. The system has implications in other cognitive development activities, as well as—but not limited to—medical, technological, biological, anthropological and other areas of study with objects requiring accurate recognition and designation, as well as personnel identification devices, games, and entertainment systems. The system uses a combination of verbal and visual error correction, including magnification and rotation of both the test image and the incorrect image identified by the trainee, to enhance observation and knowledge of visible differences.

Claims

1. A recognition training system for teaching a user to identify an entity in a virtual environment, the system comprising:

(a) a computer;

(b) a visual output device configured to display output from said computer; and

(c) devices configured for audio input to and audio output from said computer, said computer configured to receive audio input from the user regarding the identity of an image of an entity presented to the user,

(d) wherein said visual output comprises visual feedback for correction of the user'"'"'s errors, and

(e) wherein said visual feedback comprises visual manipulation of both an image of the correct entity and an image of an incorrectly identified entity.

2. The system of claim 1, wherein said virtual environment resembles substantially realistic atmospheric and temporal conditions.

3. The system of claim 1, wherein a view of said virtual environment comprises simulating the use of visual and auditory aids.

4. The system of claim 3, wherein said aids comprise one or more of:

(a) night vision;

(b) infrared;

(c) x-ray;

(d) telescopes; and

(e) microphones.

5. The system of claim 1, wherein said entity to be identified comprises one or more of:

(a) a medical entity;

(b) a technological entity;

(c) a biological entity; and

,

(d) an anthropological entity.

6. The system of claim 1, wherein said entity to be identified comprises one or more of:

(a) vehicle;

(b) aircraft; and

(c) weaponry.

18. The system of claim 1, wherein the image of the incorrectly identified entity and the image of the correctly identified entity are visually rotated to display the entities from a plurality of perspectives.

19. The system of claim 1, wherein if no input is received from the user regarding the identity of an image within a threshold period of time the identity of the image of the entity is provided by the system to the user.

20. The system of claim 1, wherein said entity to be identified comprises one or more of:

(a) body parts;

(b) cells;

(c) atoms; and

(d) molecules.

7. A recognition training method for teaching a user to identify a virtual entity in a virtual environment, the method comprising the steps of:

(a) providing, by a computer-based system, a virtual environment to the user;

(b) providing, by the computer-based system, an image of the entity operating within said environment;

(c) accepting, by the computer-based system, input from the user wherein, said input is a verbal or alpha-numeric representation of the user'"'"'s identification of the entity; and

(d) providing, by the computer-based system, feedback to the user wherein said feedback comprises one of;

(i) affirmative feedback for a correct identification of the entity; and

,

(ii) negative feedback for an incorrect identification of the entity, the negative feedback comprising visual manipulation of both an image of the correct entity and an image of an incorrectly identified entity.

8. The method of claim 7, wherein steps (a) through (d) are repeated for a predetermined entity set.

9. The method of claim 7, further comprising:

(e) accumulating and scoring of the results based on a predetermined algorithm producing one or more scores.

10. The method of claim 9, wherein said scoring comprises:

(i) running a baseline evaluation test at the beginning of the training session that calculates results based on a predetermined algorithm or algorithms producing one or more scores;

(ii) determining said scores to be acceptable or unacceptable based on a predetermined level of acceptability; and

(iii) calculating results based on a predetermined algorithm or algorithms producing one or more scores after each identification.

11. The method of claim 7, wherein said entity comprises one or more of:

(a) a medical entity;

(b) a technological entity;

(c) a biological entity; and

,

(d) an anthropological entity.

12. The method of claim 7, wherein said entity to be identified comprises one or more of:

(a) vehicle;

(b) aircraft; and

(c) weaponry.

13. A computer program product comprising a usable medium having control logic stored therein for causing a computer to teach a user to identify a virtual entity in a virtual environment, the control logic comprising:

(a) first computer readable program code means for providing a virtual environment to the user;

(b) second computer readable program code means for providing an image of the entity operating within said environment;

(c) third computer readable program code means for accepting input from the user wherein, said input is a verbal or alpha-numeric representation of the user'"'"'s identification of the entity; and

(d) fourth computer readable program code means for providing feedback to the user wherein said feedback comprises one of;

(i) affirmative feedback for a correct identification of the entity; and

, negative feedback for an incorrect identification of the entity, the negative feedback comprising visual manipulation of both an image of the correct entity and an image of an incorrectly identified entity.

14. The computer program product of claim 13, further comprising:

(a) fifth computer readable program code means for accumulating and scoring of the results based on a predetermined algorithm producing one Or more scores.

15. The computer program product of claim 14, wherein said scoring comprises:

(i) running a baseline evaluation test at the beginning of the training session, wherein the test includes calculating results based on a predetermined algorithm or algorithms and producing one or more scores;

(ii) determining said scores to be acceptable or unacceptable based on a predetermined level of acceptability; and

(iii) calculating results based on a predetermined algorithm or algorithms producing one or more scores after each identification.

16. The computer program product of claim 13, wherein said entity comprises one or more of:

(a) a medical entity;

(b) a technological entity;

(c) a biological entity; and

,

(d) an anthropological entity.

17. The computer program product of claim 13, wherein said entity to be identified comprises one or more of:

(a) vehicle;

(b) aircraft; and

(c) weaponry.