Sensing applications for exercise machines

• US 8,403,814 B2
• Filed: 03/09/2012
• Issued: 03/26/2013
• Est. Priority Date: 07/18/2007
• Status: Active Grant

• Current Assignee: Life Fitness LLC
• Original Assignee: Brunswick Corporation
• Inventors: Daly, Juliette C., Cate, Casparus, DeYoung, Glenn Allen
• Primary Examiner(s): RICHMAN, GLENN E
• Application Number:
  US13/416,722
• Publication Number:
  US 20120165159A1
• Time in Patent Office: 382 Days
• Field of Search: 482 1- 9, 482/51, 482/54, 482900-902
• US Class Current: 482/9
• CPC Class Codes: A63B 2024/0012 Comparing movements or motion sequences with a registered reference
• CPC Class Codes: A63B 2024/0065 Evaluating the fitness, e.g. fitness level or fitness index
• CPC Class Codes: A63B 2024/0078 Exercise efforts programmed as a function of time
• CPC Class Codes: A63B 2071/065 Visualisation of specific exercise parameters
• CPC Class Codes: A63B 22/0228 with variable resilience
• CPC Class Codes: A63B 22/0235 driven by a motor
• CPC Class Codes: A63B 22/025 electrically, e.g. D.C. motors with variable speed control
• CPC Class Codes: A63B 2220/17 Counting, e.g. counting periodical movements, revolutions or cycles, or including further data processing to determine distances or speed
• CPC Class Codes: A63B 2220/22 Stride length
• CPC Class Codes: A63B 2220/34 Angular speed
• CPC Class Codes: A63B 2220/53 Force of an impact, e.g. blow or punch
• CPC Class Codes: A63B 2220/833 Sensors arranged on the exercise apparatus or sports implement
• CPC Class Codes: A63B 2230/06 heartbeat rate only
• 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 24/0075 Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
• CPC Class Codes: Y10S 482/901 having computer circuitry

Abstract

Methods for profiling exercise sessions are described. An example method for profiling an exercise session includes receiving physical characteristics or workout parameters via an input interface, generating output signals proportional to a magnitude of vertical forces imparted to the exercise machine by a user during the exercise session, and processing the output signals via a control system to determine the magnitude of peak or trough values of the output signals to profile the exercise session.

Claims

1. A method for profiling an exercise session of an exercise machine, the method comprising:

receiving physical characteristics or workout parameters via an input interface;

generating output signals proportional to a magnitude of vertical forces imparted to a horizontal surface of the exercise machine by a user during the exercise session; and

processing the output signals via a control system to determine the magnitude of peak or trough values of the output signals to profile the exercise session.

2. The method of claim 1, wherein processing the output signal comprises detecting whether a first output signal comprises a first new peak or trough value and detecting whether a second output signal comprises a second new peak or trough value.

3. The method of claim 1, further comprising generating output signals in response to consecutive footfalls of the user impacting the deck during the exercise session.

4. The method of claim 3, wherein the consecutive footfalls cause vertical deflections of the deck to generate the output signals.

5. The method of claim 1, wherein the exercise machine is a treadmill and further comprising processing the output signals to determine whether the user is running or walking.

6. The method as described in claim 5, further comprising processing the output signals and selecting between a running metabolic cost equation or a walking metabolic cost equation when determining a caloric expenditure of the user during the exercise session.

7. The method as described in claim 1, wherein the exercise machine is a treadmill and further comprising comparing a calculated cadence value determined by the output signals with a target cadence received from the user interface or retrieved from look-up tables based on the input physical characteristics or workout parameters.

8. The method as described in claim 1, wherein the exercise machine is a treadmill and further comprising activating the treadmill from a standby status when detecting a signal output greater than an inactivity threshold value for a predetermined period of time.

9. A method for profiling an exercise session of a treadmill, the method comprising:

receiving physical characteristics or workout parameters via an input interface;

generating output signals proportional to a magnitude of vertical forces imparted to the exercise machine by a user during the exercise session;

processing the output signals via a control system to determine the magnitude of peak or trough values of the output signals to profile the exercise session; and

determining a cadence of the user by counting footstrikes impacting a deck of the treadmill within a period of time or counting a time interval between consecutive footstrikes impacting the deck, the output signals are to be generated in response to the vertical forces imparted to the deck caused by the footstrikes impacting the deck, the footstrikes being represented by the peak or trough values.

10. A method for profiling an exercise session of a treadmill, the method comprising:

receiving physical characteristics or workout parameters via an input interface;

generating output signals proportional to a magnitude of vertical forces imparted to the exercise machine by a user during the exercise session;

processing the output signals via a control system to determine the magnitude of peak or trough values of the output signals to profile the exercise session; and

adjusting a stiffness of the deck if a deck stiffness value received from the input interface is not between lower and upper threshold deck stiffness values retrieved from a data structure having a look-up table based on the physical characteristics or workout parameters.

11. A method for profiling an exercise session of an exercise machine, the method comprising:

generating output signals, via a sensor mounted adjacent a deck of the exercise machine, that correlate to a rate of deflection imparted to the deck of the exercise machine during an exercise session;

processing, via a control system, the output signals to determine a magnitude of each output signal; and

utilizing the magnitudes of the output signals to profile the exercise session.

12. The method of claim 11, further comprising determining peak and trough values of the output signals based on the magnitudes of the output signals.

13. The method of claim 12, wherein generating the output signals comprises generating the output signals in response to deflections of the deck caused by footstrikes impacting the deck, wherein the footstrikes are represented by the peak or trough values of the output signals.

14. The method of claim 13, wherein processing the output signals comprises detecting a first output signal having a first new peak or trough value and a second output signal having a second new peak or trough value, and calculating a cadence value of a user by counting a time interval between consecutive new peak and trough values.

15. The method of claim 11, further comprising receiving via the control system at least one workout parameter or physical characteristic.

16. The method of claim 15, further comprising using the magnitudes of the output signals and the at least one workout parameter or physical characteristic to profile the exercise session.

17. A method for profiling an exercise session of a treadmill, the method comprising:

generating output signals that correlate to a rate of deflection imparted to a deck of the exercise machine during an exercise session, wherein generating the output signals comprises generating the output signals in response to deflections of the deck caused by footstrikes impacting the deck, wherein the footstrikes are represented by the peak or trough values of the output signals;

processing, via a control system, the output signals to determine a magnitude of each output signal;

utilizing the magnitudes of the output signals to profile the exercise session;

determining peak and trough values of the output signals based on the magnitudes of the output signals; and

multiplying a speed value of a belt of the treadmill and a time interval between first and second peak or trough values of respective first and second ones of the output signals to calculate a stride length of a user.

18. A method of profiling an exercise session, the method comprising:

receiving physical characteristics or workout parameters;

sensing an impact to an exercise machine;

generating an output signal in proportion to a magnitude of a vertical force imparted to the exercise machine in response to the impact;

processing, via a control system, the output signal;

determining a magnitude of a peak or trough value of the output signal and detecting whether a first output signal comprises a first new peak or trough value and whether a second output signal comprises a second new peak or trough value; and

profiling, via the control system, the exercise session based on the peak or trough value of the output signal.

19. The method of claim 18, wherein sensing the impact comprises sensing a vertical force imparted to a horizontal surface of the exercise machine by a user during the exercise session.