IP Library Granted Patent US 11,000,733
Granted Patent B2
US 11,000,733 · App. 16/293,585 · Granted May 11, 2021

Exercise machine with analysis system

Inventor: Cheng I. Chou (City of Industry, CA)
A63B23/0405A61B5/00A61B5/112A61B5/6895A63B22/025A63B22/0242A63B24/0087A61B5/1036A61B2505/09A63B22/0605A63B71/0619A63B2024/0093A63B2220/17A63B2220/20A63B2220/30A63B2220/52A63B2225/50A63B2230/01A63B2230/75
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Quick Facts
Patent No.
US 11,000,733
App. No.
16/293,585
Granted
May 11, 2021
Kind
B2
Abstract

An exercise machine includes a motor that drives a belt to move, and an analysis system to collect a peak energy from the motor and to convert the peak energy into different user exercising data.

Claims (24)

1. An exercise machine, comprising:

a machine body which comprises a belt for being moved by a user to create a dragging force on said belt during workout, and a motor operatively linked to said belt, wherein said motor generates an initial energy to said belt in order to maintain said belt at a constant speed, wherein said motor is in an idle position when said belt is maintained at said constant speed; and

an analysis system which comprises:

a control module which collects a peak energy from said motor in response to the dragging force on said belt, wherein said peak energy is an additional energy from said motor to maintain said belt at said constant speed when said dragging force is applied on said belt additionally to said initial energy from said motor to maintain said belt at a constant speed when said motor is in said idle position, such that said peak energy is an energy to change the speed of said motor from said constant speed thereof; and

an analysis module which analyzes said peak energy and converts said peak energy into different exercising data in a real time manner, wherein said exercising data are an energy consumption data of the user in form of calories, step data, a step balancing analysis data, a weight analysis data, and a user weight identification data.

2. The exercise machine as recited in claim 1 wherein said energy consumption data is converted from said peak energy from said motor to calculate how much calories the user burnt in response to said peak energy.

3. The exercise machine, as recited in claim 1 , wherein said control module further comprises a speed sensor operatively linked to said belt, wherein said speed sensor detects a speed of said belt to generate a pre-set speed signal of said belt in response to the speed of said belt powered by said initial energy of said motor and to generate a real time speed signal in response to the speed of said belt with said dragging force applied thereon.

4. The exercise machine, as recited in claim 1 , wherein said analysis system further comprises an energy consumption module that determines a value of said peak energy from said motor and converts said peak energy from said motor for calculating how much calories the user burnt in response to said peak energy.

5. The exercise machine, as recited in claim 1 , wherein said control module further comprises a speed sensor operatively linked to said belt for detecting each step of the user as a detection of said dragging force on said belt, wherein said speed sensor collects a step signal from each step of the user and combines said step signals to a feedback signal, such that said feedback signal includes a frequency of said step signals and a value of each step signal, wherein said frequency of said step signals is defined by a frequency of the steps provided by the user's right and left feet.

6. The exercise machine, as recited in claim 5 , wherein said analysis system further comprises a step analysis module that calculates total number of steps within a period of time in response to said step signals.

7. The exercise machine, as recited in claim 5 , wherein said analysis system further comprises a balance analysis module that measures a value of weight provided by each step of the user's right and left feet, wherein said step signal from each step includes the value of each step signal, so that the values of said step signals are calculated to be an amount of forces provided by the user's right and left feet.

8. The exercise machine, as recited in claim 5 , wherein said analysis system further comprises a weight analysis module that calculates a weight of said user.

9. The exercise machine, as recited in claim 5 , wherein said analysis system further comprises a user identification module that identifies the user by a weight of said user.

10. The exercise machine, as recited in claim 1 , wherein said analysis system further comprises a distance analysis module that determines a distance of the user running/walking on said belt within a period of time.

11. The exercise machine, as recited in claim 1 , wherein said analysis system further comprises a record module that records said different exercising data and a cloud module wirelessly linked to said record module for storing said different exercising data in said cloud module.

12. The exercise machine, as recited in claim 2 , wherein said control module further comprises a speed sensor operatively linked to said belt, wherein said speed sensor detects a speed of said belt to generate a pre-set speed signal of said belt in response to the speed of said belt powered by said initial energy of said motor and to generate a real time speed signal in response to the speed of said belt with said dragging force applied thereon.

13. The exercise machine, as recited in claim 2 , wherein said analysis system further comprises an energy consumption module that determines a value of said peak energy from said motor and converts said peak energy from said motor for calculating how much calories the user burnt in response to said peak energy.

14. The exercise machine, as recited in claim 2 , wherein said control module further comprises a speed sensor operatively linked to said belt for detecting each step of the user as a detection of said dragging force on said belt, wherein said speed sensor collects a step signal from each step of the user and combines said step signals to a feedback signal, such that said feedback signal includes a frequency of said step signals and a value of each step signal, wherein said frequency of said step signals is defined by a frequency of the steps provided by the user's right and left feet.

15. The exercise machine, as recited in claim 14 , wherein said analysis system further comprises a step analysis module that calculates total number of steps within a period of time in response to said step signals.

16. The exercise machine, as recited in claim 14 , wherein said analysis system further comprises a balance analysis module that measures a value of weight provided by each step of the user's right and left feet, wherein said step signal from each step includes the value of each step signal, so that the values of said step signals are calculated to be an amount of forces provided by the user's right and left feet.

17. The exercise machine, as recited in claim 14 , wherein said analysis system further comprises a weight analysis module that calculates a weight of said user.

18. The exercise machine, as recited in claim 14 , wherein said analysis system further comprises a user identification module that identifies the user by a weight of said user.

19. The exercise machine, as recited in claim 2 , wherein said analysis system further comprises a distance analysis module that determines a distance of the user running/walking on said belt within a period of time.

20. The exercise machine, as recited in claim 2 , wherein said analysis system further comprises a record module that records said different exercising data and a cloud module wirelessly linked to said record module for storing said different exercising data in said cloud module.

Assignments (1)
SECURITY INTEREST Recorded Sep 19, 2022
From: PARADIGM HEALTH & WELLNESS, INC.
To: FIFTH THIRD BANK
Reel/Frame 061463/0881 →
Continuity (3)
Continuation 15339905 · Oct 31, 2016
Provisional Application 62245294 · Oct 23, 2015
Related Publication 20190192903A1 · Jun 27, 2019