In response to physical connection of an exercise accessory with a portion of an exercise machine, an identifier of the portion of the exercise machine is received. A signal including the identifier of the portion of the exercise machine is transmitted.

A more efficient exercise system can be facilitated by interactive components. The interactive components can communicate with mobile devices, users, server devices, weight lifting machines, etc. The interactive components can also generate exercise data and provide prompts to a user to facilitate a more efficient workout. Additionally, third-parties can receive user workout data and manipulate, or provide guidance to the user to manipulate, exercise equipment remotely to assist a user in attaining his or her goals.

A method is disclosed for using an artificial intelligence engine to modify resistance of pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a control instruction that causes the exercise device to modify, independently from each other, the resistance of the pedals. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the pedals. The method includes determining, based on the measurements, a quantifiable or qualitative modification to the resistance provided by a pedal of the pedals. The resistance provided by another pedal of the pedals is not modified. The method includes transmitting the control instruction to the exercise device to cause the resistance provided by the pedal to be modified.

A personal mobility vehicle configured to be operated in multiple modes is provided. The personal mobility vehicle operates in multiple modes to address multiple needs in a single all-in-one solution. With an omni-directional wheel and folding frame, the personal mobility vehicle can transform into a stand-up scooter, sit-down wheelchair, trike, push-assist cart, or autonomous robotic vehicle, yet is still compact and portable. The personal mobility vehicle also integrates with the user's smartphone to provide affordable, advanced functionality such as autonomous tracking and navigation utilizing the embedded computer vision and artificial intelligence capabilities.

A machine implemented method and system, including: transmitting one or more credentials of a user account from a user device to an exercise management system (EMS) having a processor and one or more sensors, where the EMS is disposed on an exercise equipment disposed in a selected at least one fitness center and the exercise equipment is part of a selected at least one exercise plan; transmitting the one or more credentials of the user account from the EMS to a cloud server having a processor; transmitting the selected at least one exercise plan for the new user account from the cloud server to the EMS; transmitting an exercise equipment information from the EMS; forming a user exercise data by the EMS for the exercise equipment based on data received from the one or more sensors; and transmitting an exercise feedback from the EMS.

An exercise system includes an exercise machine and an exercise handle coupled to the exercise machine via a cable, the exercise handle comprising a set of sensors. The set of sensors is used to detect a location of a portion of a user's hand on the exercise handle.

In response to physical connection of an exercise accessory with a portion of an exercise machine, an identifier of the portion of the exercise machine is received. A signal including the identifier of the portion of the exercise machine is transmitted.

A punch-and-cycle exercise device is described. The device includes a cycling mechanism, a frame to which a punch pad is attached, a plurality of delineated target zones arranged on the punch pad, a sensor unit that includes an impact sensor, accelerometer, a single or plurality of hall effect sensors, each communicatively connected to the target zones. A control unit communicatively connects with the sensors, and a display. Gloves with built in magnets interact with the sensors and provide data to the controller to track user success at responding to illuminated and sequenced punching programs while cycling. Output can be displayed locally or on any paired device.

The therapeutic isometric testing and isotonic training exercise device disclosed herein may allow for isometric strength testing and isometric and isotonic strength training of a user to prevent or treat soft and connective tissue deficiencies. The device may comprise, generally, a leg press, chest press, and shrug press exercise device combination having a plurality of electronic components. The device may comprise a seat assembly and weight stack assembly connected to an articulating frame, and may further comprise a weight locking pin and a plurality of load sensors for user work measurements. A proprietary software may be integrated into the device, and each user may have a personal user account and customized training regimen designed for them based on system inputs and readings.

An interactive exercise system includes an exercise machine having a display able to present videos, a three-dimensional camera system, and local processing system able to provide pose estimation based on data from the three-dimensional camera system. The system also includes a communication module for connection to a cloud processing system, with the cloud processing system supporting exercise related analytics including those based on pose estimation provided by the local processing system.