User identification for fitness equipment

• US 20070201727A1
• Filed: 02/13/2006
• Published: 08/30/2007
• Est. Priority Date: 02/13/2006
• Status: Abandoned Application

• Current Assignee: Precor Incorporated (Peloton Interactive, Inc.)
• Original Assignee: Precor Incorporated (Peloton Interactive, Inc.)
• Inventors: Pipinich, Victor, Dyer, David, Birrell, James
• Application Number:
  US11/352,701
• Publication Number:
  US 20070201727A1
• Time in Patent Office: Days
• US Class Current: 382/115
• CPC Class Codes: A63B 22/205 in a substantially vertical plane, e.g. for exercising against gravity exercising for developing or strengthening the muscles or joints of the body by working against a user's body weight A63B21/068; with adjustable inclination A63B22/0023
• CPC Class Codes: A63B 2225/15 with identification means that can be read by electronic means
• CPC Class Codes: A63B 24/00 Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
• CPC Class Codes: A63B 71/0697 Reservation devices
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints

Abstract

In accordance with the principles of the present invention, an user identification system for a fitness trainer is provided. An operating system architecture for the fitness trainer includes a hardware circuit board, a processor in communication with the hardware circuit board, and memory in communication with the hardware circuit board and the processor. A biometric capture mechanism in communication with the processor and the memory.

Claims

1. An operating system architecture for a fitness trainer comprising:

a display;

a processor in communication with the display;

a hardware circuit board in communication with the processor;

memory in communication with the hardware circuit board and the processor; and

a biometric capture mechanism in communication with the processor and the memory, the memory being capable of storing template biometric data with which biometric data captured by the biometric capture mechanism is compared.

2. The operating system architecture for a fitness trainer of claim 1 wherein the biometric capture mechanism is a fingerprint biometric system.

3. The operating system architecture for a fitness trainer of claim 1 wherein the biometric capture mechanism is a hand geometry biometric system.

4. The operating system architecture for a fitness trainer of claim 1 wherein the biometric capture mechanism is a face identification biometric system.

5. The operating system architecture for a fitness trainer of claim 2, wherein the fingerprint biometric system is a capacitive fingerprint identification system.

6. The operating system architecture for a fitness trainer of claim 5, wherein the capacitive fingerprint identification system includes a sensor comprised of at least one semiconductor chip.

7. The operating system architecture for a fitness trainer of claim 6, wherein the semiconductor chip comprises an array of cells, and wherein each cell includes at least two conductor plates and an insulating layer.

8. The operating system architecture for a fitness trainer of claim 6, wherein the sensor is coupled to an integrator.

9. The operating system architecture for a fitness trainer of claim 2, wherein the fingerprint biometric system comprises an optical scanner.

10. The operating system architecture for a fitness trainer of claim 9, wherein the optical scanner includes an array of light-sensitive diodes.

11. The operating system architecture for a fitness trainer of claim 10, wherein each light-sensitive diode records a pixel representing the amount of light hitting a particular location of the light-sensitive diode.

12. The operating system architecture for a fitness trainer of claim 2, wherein the fingerprint biometric system includes a thermal sensor having a sensing area, and wherein the thermal sensor is capable of measuring the temperature difference a first location upon which a ridge of a user'"'"'s fingerprint contacts the thermal sensor and a second location wherein the user'"'"'s fingerprint does not contact the thermal sensor.

13. The operating system architecture for a fitness trainer of claim 12, wherein the thermal sensor comprises a die including a plurality of pixels, and wherein the die is covered by a pyro-electric material.

14. The operating system architecture for a fitness trainer of claim 2, wherein the fingerprint biometric system includes a radio frequency sensor and a sensing area, and wherein the radio frequency sensor is capable of detecting the ridges and valleys of a user'"'"'s fingerprint when the user'"'"'s finger is applied having a sensing area.

15. The operating system architecture for a fitness trainer of claim 3, wherein the hand geometry biometric system comprises a hand placement mechanism and an image acquisition system, and wherein the hand placement mechanism facilitates the alignment of a user'"'"'s hand relative for image capture by the image acquisition system.

16. The operating system architecture for a fitness trainer of claim 1 wherein the memory in communication with the hardware circuit board and the processor is at a remote location.

17. The operating system architecture for a fitness trainer of claim 16 wherein the remote memory includes user information that can be provided on the display.

18. The operating system architecture for a fitness trainer of claim 1, wherein the biometric capture mechanism is a palm vein authentication system.

19. The operating system architecture for a fitness trainer of claim 18, wherein the palm vein authentication system includes an infra-red light emitting device and an optical sensor.

20. A fitness device comprising:

a frame having a pivot axis defined thereon, the frame configured to be supported on a floor;

first and second foot links, each foot link including a first portion and a second portion;

first and second foot supporting portions for receiving the feet of the user, the first and second foot support portions supported by the first and second foot links, respectively;

a coupling associated with the first portion of each foot link for coupling the first portion of each foot link to the pivot axis so that the first portion of each foot link travels in a closed path relative to the pivot axis;

a guide associated with the frame and operative to engage and direct the second portions of the foot links along preselected reciprocating paths of travel as the first portions of the respective foot links travel along their paths of travel, so that when the exercise device is in use the foot support portion moves along a generally elliptical path of travel;

a display in communication with the foot link;

a processor in communication with the display;

memory in communication with the processor; and

a biometric capture mechanism in communication with the processor and the memory.

21. The fitness device of claim 20 wherein the biometric capture mechanism is a fingerprint biometric system.

22. The fitness device of claim 20 wherein the biometric capture mechanism is a hand geometry biometric system.

23. The fitness device of claim 20 wherein the biometric capture mechanism is a face identification biometric system.

24. The fitness device of claim 21, wherein the fingerprint biometric system is a capacitive fingerprint identification system.

25. The fitness device of claim 21, wherein the fingerprint biometric system comprises an optical scanner.

26. The fitness device of claim 21, wherein the fingerprint biometric system includes a thermal sensor having a sensing area, and wherein the thermal sensor is capable of measuring the temperature difference a first location upon which a ridge of a user'"'"'s fingerprint contacts the thermal sensor and a second location wherein the user'"'"'s fingerprint does not contact the thermal sensor.

27. The fitness device of claim 21, wherein the fingerprint biometric system includes a radio frequency sensor and a sensing area, and wherein the radio frequency sensor is capable of detecting the ridges and valleys of a user'"'"'s fingerprint when the user'"'"'s finger is applied having a sensing area.

28. The fitness device of claim 20, wherein the biometric capture mechanism is a palm vein authentication system.

29. The fitness device of claim 28, wherein the palm vein authentication system includes an infra-red light emitting device and an optical sensor.

30. A system of identifying a user for a fitness trainer comprising:

capturing a user biometric;

extracting data from the biometric and storing the data as a template;

capturing a sample of the chosen biometric;

the user of the fitness equipment presenting a live biometric; and

utilizing a matching algorithm, comparing the live biometric with the stored templates;

whereby, if a match is made, the user is granted access to operate the fitness trainer.

31. The system of identifying a user for a fitness trainer of claim 30 wherein the step of capturing a user biometric comprises capturing a user fingerprint.

32. The system of identifying a user for a fitness trainer of claim 31 wherein the step of capturing a user fingerprint biometric comprises measuring a fingerprint with a finger capacitance sensing system.

33. The system of identifying a user for a fitness trainer of claim 31 wherein the step of capturing a user fingerprint biometric comprises measuring a fingerprint with a finger biometric thermal sensing system.

34. The system of identifying a user for a fitness trainer of claim 31 wherein the step of capturing a user fingerprint biometric comprises measuring a fingerprint with a radio frequency (RF) sensing system.

35. The system of identifying a user for a fitness trainer of claim 30 wherein the step of capturing a user biometric comprises capturing a user hand biometric.

36. The system of identifying a user for a fitness trainer of claim 30 wherein the step of capturing a user biometric comprises capturing a user face biometric.

37. The system of identifying a user for a fitness trainer of claim 30, wherein the biometric capture mechanism is a palm vein authentication system.