METHODS AND APPARATUSES FOR PRE-ACTION GAMING

• US 20140004493A1
• Filed: 03/15/2013
• Published: 01/02/2014
• Est. Priority Date: 06/27/2012
• Status: Active Grant

• Current Assignee: Vincent J. Macri
• Original Assignee: Vincent J. Macri
• Inventors: Macri, Vincent, Zilber, Paul, Macri, Vincent Jr.
• Granted Patent: US 10,096,265 B2
• Time in Patent Office: Days
• US Class Current: 434/262
• CPC Class Codes: G09B 19/003 Repetitive work cycles; Sequence of movements
• CPC Class Codes: G09B 23/28 for medicine

Abstract

Aspects of the disclosure include methods and apparatuses for pre-action gaming. For example, in an aspect, a method is presented for constructing a user-controllable image, comprising obtaining anatomical and physiological data associated with a body, storing the anatomical and physiological data in a database; and creating the user-controllable image based on the stored anatomical and physiological data, wherein the user-controllable image is configurable to a user, wherein at least a moveable portion of the user-controllable image is constructed to move based on input from a user, and wherein the user-controllable image is constructed so as to enable pre-action training the user. As such, victims of traumatic brain injury or other neurological setbacks may pre-train their nervous system for use of one or more injured body parts.

Claims

1. A method of constructing a user-controllable image, comprising:

obtaining anatomical and physiological data associated with a body;

storing the anatomical and physiological data in a database; and

creating the user-controllable image based on the stored anatomical and physiological data,

wherein the user-controllable image is configurable to a user,

wherein at least a moveable portion of the user-controllable image is constructed to move based on input from a user, and

wherein the user-controllable image is constructed so as to enable pre-action training the user.

2. The method of claim 1, wherein the anatomical and physiological data comprises parameters associated with a plurality of one or more bones, one or more muscles, and one or more tendons.

3. The method of claim 1, wherein the anatomical and physiological data comprises parameters associated with skin.

4. The method of claim 1, wherein the user-controllable image comprises an adjacent portion of the user-controllable image adjacent to the moveable portion of the user-controllable image, and wherein the adjacent portion is configured to move as a result of the moveable portion moving.

5. The method of claim 1, wherein the anatomical and physiological data is obtained via a motion capture device.

6. The method of claim 1, further comprising:

obtaining at least one default parameter associated with the user-controllable image;

obtaining at least one user parameter associated with a user body;

comparing the at least one default parameter and the at least one user parameter;

configuring the user-configured user-controllable image by adjusting one or more of the at least one default parameter where the at least one user parameter differs from the at least one default parameter.

7. A method of controlling a user-controllable image, comprising:

providing a virtual body part to a user, wherein the user-controllable image comprises the virtual body part;

receiving a selection input from the user, wherein the selection input is associated with at least a portion of the virtual body part;

receiving an action input from the user; and

displaying an action of the at least a portion of the virtual body part based on the action input, wherein the action is physically non-corresponding to the action input and wherein the selection input and action input are at least a part of pre-action training a user.

8. The method of claim 7, wherein the at least a part of pre-action training a user comprises a pre-action exercise game.

9. The method of claim 7, further comprising measuring one or more of a neurological, skeletomuscular, or biochemical response of the user based on the action input.

10. The method of claim 9, wherein the measuring utilizes one or more imaging technologies.

11. The method of claim 9, further comprising:

comparing the neurological response to a stored neurological characteristic value to obtain a response comparison; and

altering one or more subsequent pre-action training activities based on the response comparison.

12. The method of claim 11, wherein the stored neurological characteristic value is obtained by measuring one or more baseline neurological characteristics.

13. The method of claim 11, wherein the stored neurological characteristic value is obtained from one or more previously measured neurological responses.

14. The method of claim 9, further comprising:

comparing the neurological response to a stored response to obtain a response comparison; and

diagnosing a medical condition based on the response comparison.

15. The method of claim 7, wherein the action comprises a measurement of action based on the action input, the method further comprising:

displaying the measurement of action to the user.

16. The method of claim 7, wherein displaying the action comprises:

transmitting a control signal based on one or more of the selection input and the action input to at least one non-virtual external body part device; and

causing the at least one non-virtual external body part device to move based on the control signal.

17. The method of claim 16, wherein the at least one non-virtual external body part device is affixed to the user.

18. The method of claim 7, wherein displaying the action comprises:

transmitting a control signal based on one or more of the selection input and the action input to a feedback device; and

causing the feedback device to provide feedback to the user based on the control signal.

19. The method of claim 7, further comprising displaying a demonstrative action of the virtual body part to the user.

20. The method of claim 19, wherein the input comprises an attempt by the user to mimic the demonstrative action.

21. The method of claim 19, wherein the input comprises an attempt by the user to interact with the demonstrative action.

22. The method of claim 19, wherein the demonstrative action is displayed as a ghost action.

23. A method of cognitive rehabilitation, comprising:

providing a virtual image to a user via a display device;

receiving selection input and action input from the user;

instantiating virtual movement of the virtual image; and

reinitiating neurological functionality based on the instantiating.

24. The method of claim 23, wherein reinitiating neurological functionality comprises creating at least one neurological engagement associated with one or more portions of a nervous system, wherein the at least one neurological engagement is not an initial vehicle of the neurological functionality.

25. The method of claim 23, wherein the neurological functionality was previously made dysfunctional.