TRAINING METHOD, TRAINING DEVICE, AND COORDINATION TRAINING METHOD

• US 20090305207A1
• Filed: 12/06/2006
• Published: 12/10/2009
• Est. Priority Date: 12/12/2005
• Status: Abandoned Application

• Current Assignee: SSD Co. Ltd.
• Original Assignee: SSD Co. Ltd.
• Inventors: Fukudome, Kei, Ueshima, Hiromu
• Application Number:
  US12/096,791
• Publication Number:
  US 20090305207A1
• Time in Patent Office: Days
• US Class Current: 434/258
• CPC Class Codes: A63B 2022/0092 for training agility or co-ordination of movements
• CPC Class Codes: A63B 2220/806 Video cameras
• CPC Class Codes: A63B 24/0003 Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
• CPC Class Codes: A63F 13/212 using sensors worn by the player, e.g. for measuring heart beat or leg activity
• CPC Class Codes: A63F 13/213 comprising photodetecting means, e.g. cameras, photodiodes or infrared cells A63F13/219, A63F13/655 take precedence
• CPC Class Codes: A63F 13/428 involving motion or position input signals, e.g. signals representing the rotation of an input controller or a player's arm motions sensed by accelerometers or gyroscopes
• CPC Class Codes: A63F 13/5258 by dynamically adapting the position of the virtual camera to keep a game object or game character in its viewing frustum, e.g. for tracking a character or a ball
• CPC Class Codes: A63F 13/57 Simulating properties, behaviour or motion of objects in the game world, e.g. computing tyre load in a car race game A63F13/56 takes precedence
• CPC Class Codes: A63F 2300/1012 involving biosensors worn by the player, e.g. for measuring heart beat, limb activity
• CPC Class Codes: A63F 2300/1087 comprising photodetecting means, e.g. a camera
• CPC Class Codes: A63F 2300/64 for computing dynamical parameters of game objects, e.g. motion determination or computation of frictional forces for a virtual car
• CPC Class Codes: A63F 2300/6684 by dynamically adapting its position to keep a game object in its viewing frustrum, e.g. for tracking a character or a ball

Abstract

The guide objects 40L and 40R instruct the movements of the respective left and right hands. The image sensor 54 captures images of the input instruments 3L and 3R which are worn on left and right hands respectively and the cursors 70L and 70R are connected with the movements of the input instruments 3L and 3R by processing the result of the imaging. A series of the processing and transmission of information in the order of the eyes, the visual nerve, the brain, the motor nerve, and the hands and arms are performed inside of a human body, which are not performed in a normal life, by making the operator perform the independent motions of the respective left and right hands, which are not performed in a normal life.

Claims

1. A training method comprising the steps of:

displaying a plurality of paths which is individually assigned to respective parts of a human body, a plurality of guide objects which corresponds to said plurality of paths, and a plurality of cursors which corresponds to the respective parts of the human body;

moving said respective guide object along said corresponding paths in directions which are individually assigned to said respective guide objects;

capturing images of the parts of the human body;

detecting motions of the respective parts of the human body on the basis of the images acquired by capturing; and

moving said cursors in response to the detected motions of the corresponding parts of the human body.

2. The training method as claimed in claim 1 wherein, in said step of moving along said paths, said each guide object moves in synchronism with music.

3. The training method as claimed in claim 1 wherein said plurality of paths includes two different paths at least.

4. The training method as claimed in claim 3 wherein each of said two different paths loops and said two guide objects corresponding to said two paths move clockwise and counterclockwise respectively.

5. The training method as claimed in claim 3 wherein each of said two different paths loops and said two guide objects corresponding to said two paths move in the same direction which is any one of clockwise and counterclockwise.

6. The training method as claimed in claim 3 wherein said two guide objects corresponding to said two different paths move at different speeds each other.

7. The training method as claimed in claim 1 wherein said plurality of paths includes the two same paths at least.

8. The training method as claimed in claim 7 wherein each of said two same paths loops and said two guide objects corresponding to said two paths move clockwise and counterclockwise respectively.

9. The training method as claimed in claim 7 wherein each of said two same paths loops and said two guide objects corresponding to said two paths move in the same direction which is any one of clockwise and counterclockwise.

10. The training method as claimed in claim 7 wherein said two guide objects corresponding to said two same paths move at different speeds each other.

11. The training method as claimed in claim 1 wherein each of said paths is provided with a single segment or a plurality of segments.

12. The training method as claimed in claim 11 further comprising:

displaying an assistant object at an end of said segment in timing when said guide object reaches the end of said segment.

13. The training method as claimed in claim 1 further comprising:

changing a moving direction of said guide object and/or said path thereof.

14. The training method as claimed in claim 1 further comprising:

determining whether or not said cursor moves along a movement of said corresponding guide object.

15. The training method as claimed in claim 1 wherein, in said step of capturing, retroreflective members are captured, which are worn or grasped in the respective parts of the human body, wherein

said training method further comprises:

emitting light intermittently to said retroreflective members which are worn or grasped in the respective parts.

16. The training method as claimed in claim 1 wherein, in said step of capturing, light-emitting devices are captured, which are worn or grasped in the respective parts of the human body.

17. The training method as claimed in claim 1 wherein the parts of the human body are both hands.

22. The training method as claimed in claim 1 wherein, in said step of moving along said paths, when said cursor overlaps with said corresponding guide object, said guide object starts moving.

18. A training method comprising the steps of:

displaying a plurality of guide objects which corresponds to a plurality of parts of a human body and a plurality of cursors which corresponds to the plurality of parts of the human body;

moving said respective guide object in accordance with paths which are individually assigned to said respective guide objects;

detecting motions of the respective parts of the human body; and

moving said cursors in response to the detected motions of the corresponding parts of the human body.

19. A training method comprising:

issuing movement instructions which are individually assigned to respective parts of a human body via a display device, wherein the each movement instruction for the each part of the human body includes a content which instructs in realtime so as to move simultaneously and sustainably the each part of the human body.

20. A training apparatus comprising:

a plurality of input instruments which correspond to a plurality of part of a human body;

a display control unit operable to display a plurality of paths which is individually assigned to the respective parts of the human body, a plurality of guide objects which corresponds to said plurality of paths, and a plurality of cursors which corresponds to the respective parts of the human body;

a first movement control unit operable to move said respective guide object along said corresponding paths in directions which are individually assigned to said respective guide objects;

an imaging unit operable to capture images of the plurality of input instruments which are worn or grasped in the plurality of parts of the human body;

a detection unit operable to detect motions of the plurality of input instruments on the basis of the images acquired by capturing; and

a second movement control unit operable to move said cursors in response to the detected motions of the corresponding input instruments.

21. The training apparatus as claimed in claim 20 wherein said input instrument includes a weight of predetermined weight in order that the human can move the part of the human body in loaded condition.

23. A coordination training method comprising the steps of:

outputting a predetermined subject as an image to a display device and/or as voice to an audio output device;

capturing images of a plurality of parts of a human body;

detecting motions of the respective parts of the human body on the basis of the images acquired by capturing; and

performing evaluation on the basis of detected results of the respective parts of the human body and said predetermined subject, wherein

said predetermined subject includes a subject for training an arbitrary combination or any one of an orientation ability, a switch-over ability, a rhythm ability, a reaction ability, a balance ability, a coupling ability, and a differentiation ability of a human by cooperation with the each part of the human body.

24. The coordination training method as claimed in claim 23 further comprising:

displaying a plurality of cursors which corresponds to the respective parts of the human body.