Intelligent personal fitness device

• US 9,393,460 B1
• Filed: 01/03/2014
• Issued: 07/19/2016
• Est. Priority Date: 01/03/2013
• Status: Active Grant

• Current Assignee: Aaron Emigh
• Original Assignee: Aaron Emigh
• Inventors: Emigh, Aaron
• Primary Examiner(s): Alizada, Omeed
• Application Number:
  US14/147,477
• Time in Patent Office: 928 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/103 Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes A61B5/08 takes precedence; measuring aids for tailors A41H1/00; measuring instruments specially adapted for dentistry A61C19/04
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• 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 2225/20 with means for remote communication, e.g. internet or the like
• 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: G06V 40/23 Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G09B 19/0038 Sports

Abstract

In some embodiments, techniques for a intelligent personal fitness device include determining an exercise equipment; determining an exercise associated with the exercise equipment; determining a parameter associated with the exercise equipment; detecting a number of repetitions of the exercise associated with the exercise equipment performed using the exercise equipment, wherein detecting the number of repetitions of the exercise associated with the exercise includes analyzing data from an accelerometer; calculating an activity score based at least in part on the exercise associated with the exercise equipment, the parameter associated with the exercise equipment, and the number of repetitions of the exercise; and providing the activity score.

Claims

1. A method performed on a computing device, said computing device comprising at least one microprocessor coupled to at least one memory, comprising executing instructions on the at least one microprocessor for:

analyzing motion data from at least one accelerometer;

determining an exercise, wherein determining the exercise includes matching the motion data to a characteristic data, wherein the characteristic data includes a characterization of movements that are associated with performing the exercise, wherein the characterization of movements that are associated with performing the exercise is stored among a plurality of characteristic data corresponding to a plurality of exercises;

wherein determining the exercise further comprises analyzing a location of the computing device, and comparing with a known location of the exercise;

determining a parameter associated with the exercise;

detecting a number of repetitions of the exercise, wherein detecting the number of repetitions of the exercise includes analyzing second motion data from the at least one accelerometer;

calculating an activity score based at least in part on the exercise, the parameter associated with the exercise, and the number of repetitions of the exercise; and

providing the activity score.

2. The method of claim 1, wherein determining the exercise further comprises analyzing historical exercise activity.

3. The method of claim 1, wherein determining the parameter associated with the exercise equipment includes retrieving data associated with the exercise.

4. The method of claim 1, further comprising connecting to exercise equipment via a wireless network, and wherein receiving the parameter associated with the exercise includes receiving the parameter via the wireless network.

5. The method of claim 1, wherein the parameter associated with the exercise characterizes a resistance setting.

6. The method of claim 1, wherein providing the activity score includes displaying the activity score.

7. The method of claim 1, wherein providing the activity score includes incorporating the activity score into a second score associated with fitness.

8. The method of claim 1, further comprising providing coaching based at least in part on the activity score.

9. The method of claim 1, further comprising transmitting information relating to the activity score to a social media service.

14. The method of claim 1, wherein the motion data includes an extent of a motion.

15. The method of claim 1, wherein the motion data includes an timing of a motion.

16. The method of claim 1, wherein the motion data includes an angle of a motion.

17. The method of claim 1, wherein the parameter associated with the exercise includes an amount of weight.

10. A system, comprising:

at least one microprocessor configured to;

analyze motion data from at least one accelerometer;

determine an exercise, wherein determining the exercise includes matching the motion data to a characteristic data, wherein the characteristic data includes a characterization of movements that are associated with performing the exercise, wherein the characterization of movements that are associated with performing the exercise is stored among a plurality of characteristic data corresponding to a plurality of exercises;

wherein determining the exercise further comprises analyzing a location of the computing device, and comparing with a known location of the exercise;

determine a parameter associated with the exercise;

detect a number of repetitions of the exercise, wherein detecting the number of repetitions of the exercise includes analyzing second motion data from the at least one accelerometer;

calculate an activity score based at least in part on the exercise, the parameter associated with the exercise, and the number of repetitions of the exercise; and

provide the activity score; and

at least one memory coupled with the at least one microprocessor, wherein the at least one memory provides instructions to the at least one microprocessor.

11. The system of claim 10, wherein determining the exercise includes analyzing historical exercise activity.

18. The system of claim 10, wherein determining the exercise further comprises analyzing historical exercise activity.

12. A computer program product, the computer program product being embodied in a non-transitory computer readable medium and comprising computer instructions for:

analyzing motion data from at least one accelerometer;

determining an exercise, wherein determining the exercise includes matching the motion data to a characteristic data, wherein the characteristic data includes a characterization of movements that are associated with performing the exercise, wherein the characterization of movements that are associated with performing the exercise is stored among a plurality of characteristic data corresponding to a plurality of exercises;

wherein determining the exercise further comprises analyzing a location of the computing device, and comparing with a known location of the exercise;

determining a parameter associated with the exercise;

detecting a number of repetitions of the exercise, wherein detecting the number of repetitions of the exercise includes analyzing second motion data from the at least one accelerometer;

calculating an activity score based at least in part on the exercise, the parameter associated with the exercise, and the number of repetitions of the exercise; and

providing the activity score.

13. The computer program product of claim 12, wherein determining the exercise equipment includes analyzing historical exercise activity.

19. The computer program product of claim 12, wherein determining the exercise further comprises analyzing historical exercise activity.