FITNESS SYSTEMS AND METHODS THEREOF

• US 20170165524A1
• Filed: 02/24/2017
• Published: 06/15/2017
• Est. Priority Date: 05/21/2014
• Status: Active Grant

• Current Assignee: IncludeHealth, Inc.
• Original Assignee: Include Fitness Inc.
• Inventors: Eder, James Ryan
• Granted Patent: US 10,857,424 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A63B 2024/0078 Exercise efforts programmed as a function of time
• 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 21/00 Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices electric or electronic controls therefor A63B24/00
• CPC Class Codes: A63B 21/00058 Mechanical means for varying the resistance A63B21/06 takes precedence
• CPC Class Codes: A63B 21/062 including guide for vertical or non-vertical weights or array of weights to move against gravity forces
• CPC Class Codes: A63B 21/0628 for vertical array of weights
• CPC Class Codes: A63B 21/4035 for operation by hand
• CPC Class Codes: A63B 21/4043 Free movement, i.e. the only restriction coming from the resistance A63B21/00043, A63B21/072 take precedence
• CPC Class Codes: A63B 22/00 Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements force-resisting aspects A63B21/00; for particular parts of the body, e.g. to strengthen particular limbs or muscles A63B23/00; electric or electronic controls therefor A63B24/00
• CPC Class Codes: A63B 22/0076 Rowing machines for conditioning the cardio-vascular system seats moving during exercise A63B22/0087; training appliances for rowing or sculling on boats A63B69/06
• CPC Class Codes: A63B 22/025 electrically, e.g. D.C. motors with variable speed control
• CPC Class Codes: A63B 22/04 with movable multiple steps , i.e. more than one step per limb, e.g. steps mounted on endless loops, endless ladders steppers with cantilevered support elements pivoting about an axis A63B22/0048
• CPC Class Codes: A63B 22/0605 performing a circular movement, e.g. ergometers
• CPC Class Codes: A63B 22/0664 performing an elliptic movement
• CPC Class Codes: A63B 2220/10 Positions
• 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 2220/58 Measurement of force related parameters by electric or magnetic means
• CPC Class Codes: A63B 2220/833 : Sensors arranged on the exercise apparatus or sports implement
• CPC Class Codes: A63B 2225/50 : Wireless data transmission, e.g. by radio transmitters or telemetry
• 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 24/0075 : Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
• CPC Class Codes: G06F 16/951 : Indexing; Web crawling techniques
• CPC Class Codes: G06Q 10/06314 : Calendaring for a resource
• CPC Class Codes: G09B 19/003 : Repetitive work cycles; Sequence of movements
• CPC Class Codes: G09B 19/0038 : Sports
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

Systems and methods for fitness tracking are provided. An exercise apparatus is in networked communication with a fitness tracking computing system. The configuration and location of movable components of the exercise apparatus is determined based on sensors. This information is provided to the fitness tracking computing system via networked communication.

Claims

1. A fitness tracking computing system comprising instructions stored in a memory, which when executed by one or more processors of the fitness tracking computing system, cause the fitness tracking computing system to perform the method comprising:

receive a user identifier and an exercise apparatus identifier from an exercise apparatus via network communications;

based on the user identifier, identify an associated user account;

based on the associated user account, transmit an exercise instruction to the exercise apparatus;

receive exercise event data transmitted by the exercise apparatus; and

update the associated user account based on the exercise event data.

2. The fitness tracking computing system of claim 1, wherein the exercise apparatus is geographically remote from the one or more computing devices.

3. The fitness tracking computing system of claim 1, wherein the exercise instruction comprises any of a number of instructed repetitions, a number of instructed sets, an instructed weight setting, and instructed timing data.

4. The fitness tracking computing system of claim 1, wherein the exercise instruction comprises a configuration instruction for the exercise apparatus.

5. The fitness tracking computing system of claim 1, wherein the fitness tracking computing system is further caused to:

schedule use of the exercise apparatus for each of a plurality of different users.

6. The fitness tracking computing system of claim 1, wherein the network communications are received over an Internet communication protocol.

7. The fitness tracking computing system of claim 1, wherein the network communications are received over a Local Area Network (LAN).

8. A system, comprising:

a fitness tracking computing system in networked communication with a plurality of networked exercise apparatuses, the fitness tracking computing system to;

receiving a user identifier from a networked exercise apparatus, wherein networked exercise apparatus is one of the plurality of networked exercise apparatuses;

based on the user identifier, cause an exercise instruction to be transmitted to the a networked exercise apparatus;

receive exercise event data collected by the a networked exercise apparatus; and

update a user account associated with the user identifier based on the exercise event data.

9. The system of claim 8, wherein the exercise instruction comprises a configuration instruction for the exercise apparatus.

10. The system of claim 8, further comprising the plurality of networked exercise apparatuses, wherein each of the plurality of networked exercise apparatuses comprising:

a moveable member;

at least one sensor configured to generate a signal based at least in part on movement of the moveable member; and

a communication module for sending and receiving communications to the fitness tracking computing system over a network, wherein the communications are based on the signals generated by the at least one sensor.

11. The system of claim 8, wherein the fitness tracking computing system is configured to store exercise-based data generated by each of the plurality of networked exercise apparatuses.

12. The system of claim 11, wherein the exercise-based data comprises data based on one or more of the following parameters:

user data, device data, demographic data, time data, exercise data, location data, market data, insurance data, and medical data.

13. A system, comprising:

a fitness tracking computing system, the fitness tracking computing system comprising;

one or more data stores configured to store;

a user database comprising a plurality of user; and

an exercise instruction database;

wherein the fitness tracking computing system is in networked communication with a plurality of exercise apparatuses and the fitness tracking computing system comprises a processor and a non-transitory computer readable medium having instructions stored thereon which when executed by the processor cause the processor to;

receive a user identifier and an exercise apparatus identifier from an exercise apparatus via network communications, wherein the exercise apparatus is one of the plurality of exercise apparatuses;

based at least partially on the user identifier, cause an exercise instruction from the exercise instruction database to be transmitted to the exercise apparatus;

14. The exercise system of claim 13, wherein the exercise apparatus is geographically remote from the fitness tracking computing system.

15. The exercise system of claim 13, wherein the exercise instruction comprises any of a number of instructed repetitions, a number of instructed sets, an instructed weight setting, and instructed timing data.

16. The exercise system of claim 13, wherein the exercise instruction comprises a configuration instruction for the exercise apparatus.

17. The exercise system of claim 13, wherein the fitness tracking computing system comprises a scheduling module configured to schedule use of the plurality of exercise apparatus for a plurality of different users.

18. The exercise system of claim 13, further comprising the plurality of exercise apparatuses, wherein each of the plurality of exercise apparatuses comprising:

a moveable member;

at least one sensor configured to generate a signal based at least in part on movement of the moveable member; and

a communication module for sending and receiving communications to the fitness tracking computing system over a network, wherein the communications are based on the signals generated by the at least one sensor.

19. The exercise system of claim 13, wherein the fitness tracking computing system is configured to store exercise-based data generated by each of the plurality of exercise apparatuses.

20. The exercise system of claim 19, wherein the exercise-based data comprises data based on one or more of the following parameters:

user data, device data, demographic data, time data, exercise data, location data, market data, insurance data, and medical data.