Method and system for using artificial intelligence to adjust pedal resistance

A tangible, non-transitory computer-readable medium storing instructions that, when executed, cause a processing device to:

• generate, by an artificial intelligence engine, a machine learning model, wherein the machine learning model is trained using training data comprising inputs of one or more measurements mapped to outputs of one or more control instructions;
• receive the one or more measurements from one or more sensors respectively associated with one or more pedals of the exercise device;
• output, by the machine learning model, a control instruction of the one or more control instructions, wherein the control instruction causes an exercise device to modify resistance of the one or more pedals of the exercise device, and the control instruction is generated based on the one or more measurements;
• determining whether the one or more measurements satisfy a trigger condition;
• responsive to determining that the one or more measurements satisfy the trigger condition, transmitting the control instruction to the exercise device;
• further determining, based on one or more characteristics of a user of the exercise device, whether the trigger condition is satisfied, wherein the one or more characteristics of the user comprise at least one of personal information about the user, an elapsed time of using the exercise device, an indication of a plurality of pain levels, one or more vital signs of the user, a respiration rate of the user, a heartrate of the user, a temperature of the user, a blood oxygen level of the user, a blood pressure of the user, and a glucose level of the user;
• and
• responsive to determining that the trigger condition is satisfied further based on the one or more characteristics of the user, executing the control instruction at the exercise device;
• and
• responsive to executing the control instruction, present, on a user interface of a computing device associated with the exercise device, the control instruction and an explanation of a cause for executing the control instruction.

A system comprising:

• a memory device storing instructions;
• and
• a processing device communicatively coupled to the memory device, wherein the processing device executes the instructions to:
• generate, by an artificial intelligence engine, a machine learning model, wherein the machine learning model is trained using training data comprising inputs of one or more measurements mapped to outputs of one or more control instructions;
• receive the one or more measurements from one or more sensors respectively associated with the one or more pedals of the exercise device;
• output, by the machine learning model, a control instruction of the one or more control instructions, wherein the control instruction causes an exercise device to modify resistance of one or more pedals of the exercise device, and the control instruction is generated based on the one or more measurements;
• determine whether the one or more measurements satisfy a trigger condition;
• responsive to determining that the one or more measurements satisfy the trigger condition, transmit the control instruction to the exercise device;
• further determine, based on one or more characteristics of a user of the exercise device, whether the trigger condition is satisfied wherein the one or more characteristics of the user include at least one of personal information about the user, an elapsed time of using the exercise device, an indication of a plurality of pain levels, one or more vital signs of the user, a respiration rate of the user, a heartrate of the user, a temperature of the user, a blood oxygen level of the user, a blood pressure of the user, and a glucose level of the user;
• responsive to determining that the trigger condition is satisfied further based on the one or more characteristics of the user, cause the control instruction to be executed at the exercise device;
• and
• responsive to executing the control instruction, present, on a user interface of a computing device associated with the exercise device, the control instruction and an explanation of a cause for executing the control instruction.