US2021322830A1PendingUtilityA1

Velocity based safety system and method for fitness machines

Assignee: EGYM GMBHPriority: Apr 20, 2020Filed: Apr 16, 2021Published: Oct 21, 2021
Est. expiryApr 20, 2040(~13.7 yrs left)· nominal 20-yr term from priority
A63B 21/0058A63B 2071/0081A63B 24/0087A63B 24/0062A63B 2220/40A63B 23/12A63B 21/002A63B 2220/806A63B 21/008A63B 2024/0093A63B 2220/10A63B 2071/0655A63B 2225/20A63B 2220/89A63B 24/0075A63B 2220/30A63B 2220/805A63B 23/0417A63B 21/0085A63B 21/00058
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Claims

Abstract

Training machine and a method of controlling a training machine comprising a resistance component configured to provide at least a resistance during training, a control configured to control the resistance component during training and a safety component configured to monitor the training machine on the basis of velocity and/or any derivative thereof.

Claims

exact text as granted — not AI-modified
1 . A training machine comprising:
 a resistance component configured to provide at least a resistance during training;   a control configured to control the resistance component during training;   a safety component configured to monitor the training machine on the basis of velocity and/or any derivative thereof.   
     
     
         2 . The training machine according to  claim 1  wherein the safety component comprises a measurement component that is configured to measure velocity along a path, acceleration along a path and/or jerk along a path. 
     
     
         3 . The training machine according to  claim 1  further comprising a sensor that is configured to deliver a signal that is configured to be used by the safety component to monitor the training machine on the basis of at least one of velocity, acceleration and/or jerk. 
     
     
         4 . The training machine according to  claim 1  wherein the actual value(s) are based on a speed signal. 
     
     
         5 . The training machine according to  claim 1  wherein the safety component is configured to adjust the resistance component at least in part and/or complete. 
     
     
         6 . The training machine according to  claim 1  wherein the safety component is configured to deactivate the resistance component at least in part and/or complete upon in case the actual value(s) is/are out of the target value(s). 
     
     
         7 . The training machine according to  claim 1  wherein the safety component is configured to deactivate the resistance component by a gradual reduction of the resistance to a minimum or zero. 
     
     
         8 . The training machine according to  claim 1  wherein the safety component is configured to deactivate the resistance component by a gradual reduction of the resistance to a minimum or zero depending on the position of the machine. 
     
     
         9 . The training machine according to  claim 1  wherein the actual value(s) at and/or around the change of concentric and eccentric movement are analyzed. 
     
     
         10 . The training machine according to  claim 1  wherein the actual value(s) at and/or around the change of concentric and eccentric movement are analyzed and a deactivation of the resistance component at least in part and/or complete is triggered when the actual value(s) of the velocity is/are lower in absolute terms than the range of target value(s) of the velocity. 
     
     
         11 . The training machine according to  claim 1  wherein the safety component is integrated with the control. 
     
     
         12 . A method of controlling a training machine comprising the steps of:
 providing a resistance during training by a resistance component;   controlling a resistance component during training by a control component; and   monitoring the training machine on the basis of at least one of, velocity and/or any derivative thereof by a safety component.   
     
     
         13 . The method according to  claim 12  with the further step of providing the safety component with a differentiator that determines at least a first derivative of the velocity and/or a second derivative of the velocity during training and communicating with the motor control of the resistance module. 
     
     
         14 . The method according to  claim 12  wherein the safety component is configured to deactivate the resistance component by a gradual reduction of the resistance to a minimum or zero depending on the position of the machine. 
     
     
         15 . The method according to  claim 12  wherein the actual value(s) at and/or around the change of concentric and eccentric movement are analyzed. 
     
     
         16 . The method according to  claim 12  wherein the actual value(s) at and/or around the change of concentric and eccentric movement are analyzed and a deactivation of the resistance component is triggered when the actual value(s) of the velocity is/are lower in absolute terms than the range of target value(s) of the velocity. 
     
     
         17 . The method according to  claim 12  with the further step of providing target values and the measured values are trained into a machine learning algorithm and the machine learning algorithm provides a control signal to the safety component. 
     
     
         18 . The method according to  claim 17  wherein the target value(s) are trained by a machine learning algorithm on the basis of training data. 
     
     
         19 . The method according to  claim 17  wherein the actual value(s) at and/or around the change of concentric and eccentric movement are analyzed and a deactivation of the resistance component is triggered when the actual value(s) of the velocity is/are lower in absolute terms than the range of target value(s) of the velocity. 
     
     
         20 . A computer program comprising instructions, which, when the program is executed on a data processing system causes the method steps of
 providing a resistance during training by a resistance component;   controlling a resistance component during training by a control component;   monitoring the training machine on the basis of at least one of, velocity and/or any derivative thereof by a safety component;   providing target values and the measured values are trained into a machine learning algorithm and the machine learning algorithm provides a control signal to the safety component wherein the target value(s) are trained by a machine learning algorithm on the basis of training data; and/or   wherein the actual value(s) at and/or around the change of concentric and eccentric movement are analyzed and a deactivation of the resistance component is triggered when the actual value(s) of the velocity is/are lower in absolute terms than the range of target value(s) of the velocity.

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