Method and system of optimizing and personalizing resistance force in an exercise

A method useful for automating, personalizing and optimizing a resistance force in an exercise across time and space, the method comprising:

• providing a first exercise machine;
• providing a second exercise machine;
• providing a first biometric sensor coupled with a first user performing an exercise on the first exercise machine;
• providing a second biometric sensor coupled with a second user performing an exercise on the second exercise machine;
• obtaining a first user's profile data, wherein the first user's profile data comprises a first user's history of exercising on the exercise machine;
• obtaining a second user's profile data, wherein the second user's profile data comprises a second user's history of exercising on the exercise machine;
• obtaining a first user input into a first exercise resistance controller of the first exercise machine;
• obtaining a second user input into second exercise resistance controller of the second exercise machine;
• while the first user and the second user perform one or more repetitions of the exercise on the first exercise machine and the second exercise machine:
• obtaining a real-time data of a set of parameters of the one or more repetitions of the exercise on the first exercise machine and the second exercise machine;
• obtaining a first user's biometric data;
• obtaining a second user's biometric data;
• and
• based on the, real-time data, the first user's biometric data, the second user's biometric data, the first user input into the first exercise resistance controller, the second user input into the second exercise resistance controller, the first user's profile data, the second user's profile data:
• automatically adjusting the first exercise resistance controller of the first exercise machine within the three-dimensional (3D) geospatial motion of the first user and across time of the exercise;
• and
• automatically adjusting the second exercise resistance controller of the second exercise machine within the three-dimensional (3D) geospatial motion of the second user and across time of the exercise.

A computing useful for automating, personalizing and optimizing a resistance force in an exercise across time and space, the system comprising:

• a processor;
• a memory containing instructions when executed on the processor, causes the processor to perform operations that:
• provide a first exercise machine;
• provide a second exercise machine;
• provide a first biometric sensor coupled with a first user performing an exercise on the first exercise machine:
• provide a second biometric sensor coupled with a second user performing an exercise on the second exercise machine;
• obtain a first user's profile data, wherein the first user's profile data comprises a first user's history of exercising on the exercise machine;
• obtain a second user's profile data, wherein the second user's profile data comprises a second user's history of exercising on the exercise machine;
• obtain a first user input into a first exercise resistance controller of the exercise machine;
• obtain a second user input into a second exercise resistance controller of the second exercise machine;
• while the first user and the second user perform one or more repetitions of the exercise on the first exercise machine and the second exercise machine:
• obtain a real-time data of a set of parameters of the one or more repetitions of the exercise on the first exercise machine and the second exercise machine;
• obtain a first user's biometric data;
• obtain a second user's biometric data;
• and
• based on the real-time data, the first user's biometric data, the second user's biometric data, the first user input into the first exercise resistance controller, the second user input into the second exercise resistance controller, the first user's profile data, the second user's profile data:
• automatically adjust the first exercise resistance controller of the first exercise machine within the three-dimensional (3D) geospatial motion of the first user and across time of the exercise;
• and
• automatically adjust the second exercise resistance controller of the second exercise machine within the three-dimensional (3D) geospatial motion of the second user and across time of the exercise.