INTELLIGENT MODEL FOR INSTRUCTIONAL CONTENT GENERATION

• US 20200135044A1
• Filed: 10/27/2018
• Published: 04/30/2020
• Est. Priority Date: 10/27/2018
• Status: Abandoned Application

• Current Assignee: Laura J. Neff
• Original Assignee: Laura J. Neff
• Inventors: Neff, Laura J.
• Application Number:
  US16/172,781
• Publication Number:
  US 20200135044A1
• Time in Patent Office: Days
• CPC Class Codes: G06V 40/28 Recognition of hand or arm movements, e.g. recognition of deaf sign language static hand signs G06V40/113
• 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 5/06 with both visual and audible presentation of the material to be studied
• CPC Class Codes: G09B 5/08 providing for individual presentation of information to a plurality of student stations
• CPC Class Codes: G10L 13/08 Text analysis or generation of parameters for speech synthesis out of text, e.g. grapheme to phoneme translation, prosody generation or stress or intonation determination

Abstract

A method and system for generating instructional content is provided. In one embodiment the method includes recording images of at least one human subject in motion and processing the recorded images by the processor to determine a sequence of gestures made by the human subject. The method then synchronizes the recorded images with a narrative corresponding to the determined sequence of gestures into a synchronized image-supported narrative and stores the synchronized image-supported narrative to permit reproduction of the synchronized image-supported narrative on a processor-enabled user device.

Claims

1. A method of generating instructional content, the method comprising:

recording images of at least one human subject in motion;

processing the recorded images by the processor to determine a sequence of gestures made by the human subject;

synchronizing the recorded images with a narrative corresponding to the determined sequence of gestures into a synchronized image-supported narrative; and

storing the synchronized image-supported narrative to permit reproduction of the synchronized image-supported narrative on a processor-enabled user device.

2. The method of claim 1, further comprising interpreting the determined sequence of gestures by the processor and generating the narrative by a processor based on the interpreted determined sequence of gestures.

6. The method of claim 2, wherein the narrative includes written verbal content, and the reproduction includes reproduction of the written verbal content in human-readable form.

7. The method of claim 2, wherein the method further comprises recording image content of the first user while recording the sequence, and the method further comprising storing the recorded image content for later reproduction with the generated verbal instruction as a tutorial for the second user.

8. The method of claim 7, wherein the generating generates a sequence of steps followed on a processor-enabled device, wherein the generating is performed such that when the generated sequence of steps is reproduced, the second user must follow each step to permit the second user to advance to the next successive step.

3. The method of claim 3, wherein the narrative includes spoken verbal content, and the reproduction includes reproduction of the spoken verbal content in audible form.

4. The method of claim 3, wherein generating the narrative includes generating the spoken verbal content as computer-generated speech.

5. The method of claim 3, wherein generating the narrative includes prompting a content provider to record the spoken verbal content to be included in the image-supported narrative.

9. A processor-enabled system for generating instructional content for the challenged, comprising:

a processor; and

a set of instructions executable by the processor to perform a method of generating instructional content, the method including

recording images of at least one human subject in motion;

processing the recorded images by the processor to determine a sequence of gestures made by the human subject;

synchronizing the recorded images with a narrative corresponding to the determined sequence of gestures into a synchronized image-supported narrative; and

storing the synchronized image-supported narrative to permit reproduction of the synchronized image-supported narrative on a processor-enabled user device.

10. The system of claim 9, further comprising interpreting the determined sequence of gestures by the processor, and generating the narrative by a processor based on the interpreted determined sequence of gestures.

11. The system of claim 10, wherein the narrative includes spoken verbal content, and the reproduction includes reproduction of the spoken verbal content in audible form.

12. The system of claim 11, wherein generating the narrative includes generating the spoken verbal content as computer-generated speech.

13. The system of claim 11, wherein generating the narrative includes prompting a content provider to record the spoken verbal content to be included in the image-supported narrative.

14. The system of claim 10, wherein the narrative includes written verbal content, and the reproduction includes reproduction of the written verbal content in human-readable form.

15. The system of claim 10, wherein the method further comprises recording image content of the first user while recording the sequence, and the method further comprising storing the recorded image content for later reproduction with the generated verbal instruction as a tutorial for the second user.

16. The system of claim 15, wherein the generating generates a sequence of steps followed on a processor-enabled device, wherein the generating is performed such that when the generated sequence of steps is reproduced, the second user must follow each step to permit the second user to advance to the next successive step.