Sports training machine

• US 10,252,133 B2
• Filed: 04/20/2018
• Issued: 04/09/2019
• Est. Priority Date: 11/15/2012
• Status: Active Grant

• Current Assignee: Airbourne Athletics Incorporated (Airborne Athletics)
• Original Assignee: Airbourne Athletics Incorporated (Airborne Athletics)
• Inventors: Campbell, Douglas Brad, Campbell, Jeffrey Jon
• Primary Examiner(s): Harper, Tramar
• Application Number:
  US15/958,733
• Publication Number:
  US 20180236338A1
• Time in Patent Office: 354 Days
• Field of Search: None
• CPC Class Codes: A63B 2024/0068 Comparison to target or threshold, previous performance or not real time comparison to other individuals
• CPC Class Codes: A63B 2024/0093 the load of the exercise apparatus being controlled by performance parameters, e.g. distance or speed
• CPC Class Codes: A63B 2071/025 on rollers or wheels
• CPC Class Codes: A63B 2220/801 Contact switches
• CPC Class Codes: A63B 2220/802 Ultra-sound sensors
• CPC Class Codes: A63B 2220/805 Optical or opto-electronic sensors
• CPC Class Codes: A63B 2225/093 Height
• CPC Class Codes: A63B 2225/50 Wireless data transmission, e.g. by radio transmitters or telemetry
• CPC Class Codes: A63B 2230/062 used as a control parameter for the apparatus
• CPC Class Codes: A63B 2230/30 blood pressure A63B2230/04 takes precedence
• CPC Class Codes: A63B 2230/42 rate
• CPC Class Codes: A63B 2230/436 partial O2 value
• CPC Class Codes: A63B 2230/75 calorie expenditure
• CPC Class Codes: A63B 24/0062 Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• CPC Class Codes: A63B 24/0087 Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
• CPC Class Codes: A63B 47/002 Devices for dispensing balls, e.g. from a reservoir automatic teeing devices A63B57/0006; devices for projecting balls A63B69/40
• CPC Class Codes: A63B 47/02 for picking-up or collecting
• CPC Class Codes: A63B 69/0071 for basketball
• CPC Class Codes: A63B 69/40 Stationarily-arranged devices for projecting balls or other bodies golf cups with ball ejector means A63B57/405; traps for clay-pigeon targets F41J9/18
• CPC Class Codes: A63B 69/409 with pneumatic ball- or body-propelling means
• CPC Class Codes: A63B 71/022 : Backstops, cages, enclosures or the like, e.g. for spectator protection, for arresting balls
• CPC Class Codes: A63B 71/0622 : Visual, audio or audio-visual systems for entertaining, instructing or motivating the user

Abstract

A basketball training apparatus includes a shot completion sensor, a condition sensor, and a computer. The shot completion sensor determines whether a shot goes through a basketball hoop. The condition sensor senses a physical condition of a basketball shooter. The computer is in communication with the shot completion sensor and the condition sensor, and has a processor for calculating shot completion percentage as a function of the physical condition.

Claims

1. A basketball training apparatus comprising:

a mechanical ball returner for returning balls;

a shot completion sensor for determining whether a shot goes through a basketball hoop;

a condition sensor for sensing a physiological condition of a basketball shooter, the physiological condition including at least one of heart rate, blood pressure, respiratory rate, and fatigue; and

a computer in communication with the shot completion sensor and the condition sensor, the computer configured to;

store calculated shot completion percentage data and the sensed physiological condition of the basketball shooter for each of a plurality of training sessions of the basketball shooter; and

output the calculated shot completion percentage as a function of the sensed physiological condition of the basketball shooter for at least one of the plurality of training sessions to provide quantitative feedback of progress of the basketball shooter over time with respect to the shot completion percentage as the function of the sensed physiological condition of the basketball shooter.

2. The basketball training apparatus of claim 1,

wherein the computer is configured to output the calculated shot completion percentage as a function of the sensed physiological condition of the basketball shooter via a website accessible by a remote computer.

3. The basketball training apparatus of claim 1,

wherein the computer is configured to output the calculated shot completion percentage as a function of the sensed physiological condition of the basketball shooter at a display device operatively connected with the computer.

4. The basketball training apparatus of claim 3,

wherein the display device is a touch screen user interface of the basketball training apparatus.

5. The basketball training apparatus of claim 1,

wherein the computer is configured to store the calculated shot completion percentage data and the sensed physiological condition of the basketball shooter at memory of the computer.

6. The basketball training apparatus of claim 1,

wherein the computer is configured to store the calculated shot completion percentage data and the sensed physiological condition of the basketball shooter at an external data source.

7. The basketball training apparatus of claim 6,

wherein the external data source is an external computer communicatively coupled to the computer.

8. The basketball training apparatus of claim 1,

wherein the computer comprises a smart phone in communication with the shot completion sensor and the condition sensor.

9. The basketball training apparatus of claim 1,

wherein the condition sensor is a heart rate monitor.

10. The basketball training apparatus of claim 1,

wherein the condition sensor is an oximeter.

11. The basketball training apparatus of claim 1,

wherein the condition sensor is a lactic acid monitor.

12. A method comprising:

sensing a physiological condition of a basketball shooter using a physiological condition sensor, the physiological condition including one or more of heart rate, blood pressure, respiratory rate, and fatigue;

generating physiological condition data for the basketball shooter with a processor based on signals received from the physiological condition sensor;

sensing, with a shot completion sensor, whether a ball shot from the basketball shooter goes through a basketball hoop;

calculating with the processor shot completion percentage data based on signals received from the shot completion sensor;

relating the shot completion percentage data for the basketball shooter with the physiological condition data for the basketball shooter for each of a plurality of training sessions of the basketball shooter; and

outputting with the processor the calculated shot completion percentage data as a function of the physiological condition data for the basketball shooter for at least one of the plurality of training sessions to provide quantitative feedback of progress of the basketball shooter over time with respect to the shot completion percentage data as the function of the physiological condition data for the basketball shooter.

13. The method of claim 12,

wherein outputting the calculated shot completion percentage data as a function of the physiological condition data for the basketball shooter comprises outputting the calculated shot completion percentage data as a function of the physiological condition data at a website.

14. The method of claim 12,

wherein the processor is included in a smart phone in communication with the physiological condition sensor.

15. The method of claim 12,

wherein outputting the calculated shot completion percentage data as a function of the physiological condition data for the basketball shooter comprises outputting the calculated shot completion percentage for display at a display device.

16. The method of claim 15,

wherein outputting the calculated shot completion data as a function of the sensed physiological condition data for the basketball shooter comprises outputting the calculated shot completion percentage data as a function of two or more of the heart rate, blood pressure, respiratory rate, and fatigue of the basketball shooter.

17. The method of claim 12,

wherein the condition sensor is a heart rate monitor.

18. The method of claim 12,

wherein the condition sensor is an oximeter.

19. The method of claim 12,

wherein the condition sensor is a lactic acid monitor.