METHOD FOR GAME ANALYSIS

• US 20120208611A1
• Filed: 10/12/2010
• Published: 08/16/2012
• Est. Priority Date: 10/12/2009
• Status: Abandoned Application

• Current Assignee: K-Sport Di Marcolini Mirko
• Original Assignee: K-Sport Di Marcolini Mirko
• Inventors: Marcolini, Mirko
• Application Number:
  US13/501,521
• Publication Number:
  US 20120208611A1
• Time in Patent Office: Days
• US Class Current: 463/7
• CPC Class Codes: A63B 2024/0025 Tracking the path or location of one or more users, e.g. players of a game
• CPC Class Codes: A63B 2024/0056 for statistical or strategic analysis
• CPC Class Codes: A63B 2220/12 Absolute positions, e.g. by using GPS
• CPC Class Codes: A63B 2220/803 Motion sensors
• CPC Class Codes: A63B 2220/806 Video cameras
• CPC Class Codes: A63B 2220/833 Sensors arranged on the exercise apparatus or sports implement
• CPC Class Codes: A63B 2220/836 Sensors arranged on the body of the user
• CPC Class Codes: A63B 2225/50 Wireless data transmission, e.g. by radio transmitters or telemetry
• CPC Class Codes: A63B 2243/0025 Football
• CPC Class Codes: A63B 24/0021 Tracking a path or terminating locations

Abstract

Process for the disposal of wastes, comprising: performing an acid oxidizing hydrolysis of the incoming waste (charge); performing an alkaline oxidizing hydrolysis of the outgoing mass from the stage of acid oxidizing hydrolysis; chemically conditioning the outgoing mass from the stage of alkaline oxidizing hydrolysis by the addition of an acid reagent; separating any undissolved residue. This process, by comparison with other methods and technologies already known and in use, features the following advantages: superior effectiveness in reducing the weight of the waste,—superior economy; total absence of ecological, environmental, hygiene and sanitary problems; total safety of personnel employed at the plants; enhancement for agricultural use of any exhausted residue which may be present at the end of the treatment.

Claims

1. A method for obtaining data relating to the performance of at least one given participant in a sport event occurring on a given play surface and requiring the use of a given body suitable, in use, to be movable within said play surface, said method comprising:

a phase of acquiring kinematic data relating to at least one said given participant through tracking means for tracking the position of said participants during said sport event, followed by a phase of processing said kinematic data through programmable computing means;

said phase of processing said kinematic data comprises a phase of calculating the value of at least one given parameter (P, M, T) quantitatively describing said performance of at least one said given participant during said sport event;

wherein said phase of calculating the value of at least one given parameter (P, M, T) is preceded by a phase of identifying, based upon said kinematic data, a given portion of said play surface associated with a respective said given participant; and

wherein said given portion consisting of the set of all the points of the play surface where the respective said given participant can arrive before any other participant in a given time interval (Δ

T).

2. A method according to claim 1, wherein:

said phase of calculating the value of at least one given parameter (P, M, T) is preceded by a phase of identifying for each said participant in the sport event a respective said portion of the play surface; and

each said portion being defined based upon said kinematic data and consisting of the set of all the points of the play surface where the respective said participant can arrive before any other said participant in a given time interval (Δ

T).

3. A method according to claim 2, wherein said phase of calculating the value of at least one given parameter (P, M, T) is preceded by a phase of subdividing said play surface into a plurality of said portions whose overall number is equal to the number of the participants in said sport event.

4. A method according to claim 1, wherein said kinematic data relating to at least one said given participant comprise, alternatively or in combination, the trend over time of the position, of the speed and/or of the acceleration of said given participant during said sport event.

5. A method according to claim 1, wherein:

said phase of calculating the value of at least one given parameter (P, M, T) is preceded by a phase of acquiring personal data relating at least to said given participant; and

said personal data comprising, alternatively or in combination, data associated with a respective participant and relating to the respective athletic characteristics, to the respective current athletic condition and/or to the respective ability to face successfully a given type of sport events.

6. A method according to claim 5, wherein said phase of identifying a given portion associated with a said participant comprises a phase of numerically defining said given portion according to said given time interval (Δ

T) and to at least one of said data relating to the athletic characteristics and/or to the current athletic condition of said participant.

7. A method according to claim 1, wherein:

said phase of calculating the value of at least one given parameter (P, M, T) comprises the phase of calculating the value of a first parameter (P, P′

) suitable to quantify the performance of a said given participant during the execution of a given pass of said body to a further participant of the same team; and

this phase of calculating the value of the first value (P, P′

) relating to a given pass of said body comprising the phase of calculating a difficulty coefficient (C_n) associated with said given pass.

8. A method according to claim 7, wherein:

said phase of calculating a difficulty coefficient (C_n) associated with said given pass comprises a phase of calculating the value of a function of at least one variable among the surface area (A_n) of the given portion associated with the participant receiving said given pass;

the flight time (T_n^volo) of the body during said pass;

the distance between the start position and the final position of the body during said given pass (D_n^Pass);

the distance between the trajectory followed by said body during said given pass and at least one said given portion associated with an opponent of said team;

the distance between the trajectory followed by said body during said given pass and at least one said given portion associated with a participant member of said team different than the participant receiving said body following said given pass; and

the angle (AS_n) that, in the initial moment of said given pass, presents the respective vertex in the position occupied by said body and the respective sides tangent to the two said given portions that are associated with the two opponents of said team who are nearest to the trajectory of said given pass.

9. A method according to claim 7, wherein:

said phase of calculating the value of a said first parameter (P, P′

) comprises a phase of identifying the pass that, based upon said kinematic data, would have been the best one during said given pass;

said phase of identifying the pass the would have been the best pass comprising a phase of numerically maximising the value of a function calculated in the initial moment of said given pass and having at least one variable among the identity of said participant of said team to whom said body has been passed;

the surface area (A_n) of the given portion associated with said participant to whom said body has been passed;

the distance (D_n) between the given portion associated with said participant to whom said body has been passed and the centre of an area of the play surface associated with the goal area; and

said difficulty coefficient (C_n) associated with said given pass;

at least one given success coefficient (S_n^E) quantifying the possibility of success of said participant to whom said body has been passed in a given event immediately after said given pass.

10. A method according to claim 9, said phase of calculating the value of a said first parameter (P, P′

) comprises a phase of quantifying the ratio between said given pass really performed by said given participant and the pass that would have been the best pass for said given pass.

11. A method according to claim 1, wherein:

said phase of calculating the value of at least one given parameter (P, M, T) comprises the phase of calculating the value of a second parameter (T, T′

) suitable to quantify the performance of a said given participant during the execution of a given shot of said body toward a given goal area; and

this phase of calculating the value of a second parameter (T, T′

) relating to a given shot of said body comprising the phase of calculating a difficulty coefficient (C_n) associated with said given shot.

12. A method according to claim 11, wherein:

said phase of calculating a difficulty coefficient (C_n) associated with said given shot comprises a phase of calculating the value of a function of at least one variable among the surface area of said goal area, the surface area of a projection of said goal area relative to the position occupied by said given participant in the initial moment of said given shot;

the flight time of said body during said given shot;

the distance between the inside of said goal area and the position of said body in the initial moment of said given start shot;

the distance between the trajectory followed by said body during said given shot and at least one said given portion associated with an opponent of said team;

the distance between the trajectory followed by said body during said given shot and at least one said given portion associated with a participant member of said team different than the participant performing said given shot; and

the angle that, in the initial moment of said given shot, presents the respective vertex in the position occupied by said body and the respective sides tangent to the two said given portions that are associated with the two opponents of said team who are nearest to the trajectory of said given pass.

13. Method according to claim 11, wherein:

said phase of calculating the value of a said second parameter (T, T′

) comprises a phase of identifying the shot of said body that, based upon said kinematic data, would have been the best shot for said given shot;

said phase of identifying the pass that would have been the best one comprising a phase of numerically maximising the value of a function calculated at the initial moment of said given pass and having at least one variable among the surface area of said goal area, the surface area of a projection of said goal area relative to the position occupied by said given participant in the initial moment of said given shot;

the distance between a said given portion associated with said given participant performing the given shot and the centre of said goal area; and

said difficulty coefficient (C_n) associated with said given shot.

14. A method according to claim 13, wherein said phase of calculating the value of a said second parameter (T, T′

) comprises a phase of quantifying the ratio between said given pass really performed by said given participant and said shot that would have been the best shot on the occasion of said given shot.

15. A method according to claim 1, wherein:

said phase of calculating the value of at least one given parameter (P, M, T) comprises the phase of calculating the value of a third parameter (M) suitable to quantify the performance of a said given participant during the execution of a given displacement within said play surface;

this phase of calculating the value of a third parameter (M) relating to a given displacement of a said given participant comprising the phase of identifying the movement of said given participant that, on the base of said kinematic data, would have been the best displacement on occasion of said given displacement;

said phase of identifying the displacement that would have been the best displacement comprising a phase of numerically maximising the value of a function calculated with reference to the initial moment of said given displacement and having at least one variable among the area of the given portion associated with said given participant;

the difficulty coefficient (C_n) of a pass of said body directed toward said given participant or performed by said given participant; and

the surface area (A_avv) of the given portion associated with an opponent opposing a pass or a shot of said body performed by said given participant.

16. A method according to claim 7, wherein said phase of identifying the displacement that would have been the best displacement comprising a said phase of calculating a said difficulty coefficient (C_n) associated with said pass of said body and/or a said phase of calculating a said difficulty coefficient (C_n) associated with said shot of said body.

17. A method as claimed in claim 15, wherein said phase of calculating the value of a said third parameter (M, M′

) comprises a phase of quantifying the ratio between said given displacement really performed by said given participant and said displacement that would have been the best displacement.

18. A method according to claim 1, wherein said sport event is a football match or training and in that said body comprises a football ball.