In one aspect of the disclosure, a motorized Pilates reformer system may include a frame, a carriage configured to slide along the frame, springs attached to the carriage, attachment mechanisms attached to the frame, spring motors attached to the frame, a footbar rotatably attached to the frame, and a footbar motor attached to the frame. The spring motors may be configured to cause the attachment mechanisms to each alternate between attaching one of the springs to the frame and detaching the spring from the frame. The footbar motor may be configured to rotate the footbar with respect to the frame between multiple footbar positions.

The present invention is generally directed to methods, systems, and computer program products for coordinating musculoskeletal and cardiovascular hemodynamics, and more directly to stationary and non-stationary exercise equipment that include adjustable behaviors and are used with repetitive activities. The equipment is adjusted automatically in real-time to alter the work output, cadence, and/or timing of the user's physical activity in response to their monitored cardiovascular and musculoskeletal signals to achieve and maintain a targeted coordination of their heart and musculoskeletal pump cycle timing.

A system and method for intelligent self-calibration of target load thresholds for users of exercise machines is disclosed herein. In one embodiment, a method includes determining, by one or more processing devices, a bone geometry of a bone in a portion of a body of a user, where said portion is going to be exercised by the user performing an exercise on an exercise machine. The method also includes determining, using the bone geometry, a strain on the bone in the portion of the body of the user such that the strain triggers osteogenesis, determining a target load threshold to be added by the user to the exercise machine during the exercise to achieve the strain that triggers osteogenesis, and, while the user performs the exercise on the exercise machine, causing the target load threshold to be represented on a user interface of a computing device.

Systems, apparatuses, and methods for performing robotically assisted physical therapy. The system, apparatus, and method can include a motion platform having three-degrees of freedom to achieve pitch motion, yaw motion, and roll motion; a plurality of motors connected to the motion platform to enable the pitch motion, the yaw motion, and/or the roll motion; at least one sensor configured to collect data relating to position and/or motion of the motion platform; and a motion controller configured to control the motion platform based on the collected data and/or external commands.

A weight training method, a weight training apparatus and a weight training system are provided. In the method, a weight of a load of a user operating the weight training apparatus is detected by a load sensor, a motion of the load is detected by an activity sensor, and thereby an operation power of the weight training apparatus is calculated. A force applied by the muscle portion when the user operates the weight training apparatus is detected by at least one biophysical quantity sensor disposed on at least one muscle portion of the user and used to calculate an energy power consumed by the user. An exercise efficiency value of the user is calculated by using the energy power and the operation power, and the user is prompted to adjust an operation performed on the weight training apparatus when the exercise efficiency value drops beyond a preset ratio.

An adaptive active training system includes a motion module, a sensing module and a control module. The motion module includes a training unit and a motor connected to the training unit. The motor is configured to bring the training unit to move along a motion trajectory. The sensing module is configured to sense a physiological signal of a user when the user uses the training unit. The control module is connected to the motion module and the sensing module. The control module is configured to calculate a position of the training unit on the motion trajectory, obtain a threshold value corresponding to the position based on a motion model, and determine whether a magnitude of the physiological signal is greater than the threshold value.

An adaptive active training system includes a motion module, a sensing module and a control module. The motion module includes a training unit and a motor connected to the training unit. The motor is configured to bring the training unit to move along a motion trajectory. The sensing module is configured to sense a physiological signal of a user when the user uses the training unit. The control module is connected to the motion module and the sensing module. The control module is configured to calculate a position of the training unit on the motion trajectory, obtain a threshold value corresponding to the position based on a motion model, and determine whether a magnitude of the physiological signal is greater than the threshold value.

A smart bag offers tactical, visual, and audible interactive features for workouts and has numerous benefits: enhance aerobic fitness, core stability, coordination, power, stamina, and endurance. The smart bag improves upper-body strength and strengthen bones and ligaments and enhances full body boxing, MMA (Mixed Martial Arts), kickboxing techniques. The smart bag provides real-time guidance to indulge the user in a challenging experience. The workout guidance is presented through illuminating and extinguishing a series of light units integrated with sensors. The light units are distributed on the bag, wherein the duration and sequence of illumination of individual light units are controlled by a control system. Through interacting with the control system, the user achieves focused training at the desired intensity level that emphasizes on power, speed, accuracy, and reaction. Further, the control system can record boxing and biometric data using the sensors.

A weight training method, a weight training apparatus and a weight training system are provided. In the method, a weight of a load of a user operating the weight training apparatus is detected by a load sensor, a motion of the load is detected by an activity sensor, and thereby an operation power of the weight training apparatus is calculated. A force applied by the muscle portion when the user operates the weight training apparatus is detected by at least one biophysical quantity sensor disposed on at least one muscle portion of the user and used to calculate an energy power consumed by the user. An exercise efficiency value of the user is calculated by using the energy power and the operation power, and the user is prompted to adjust an operation performed on the weight training apparatus when the exercise efficiency value drops beyond a preset ratio.

A method and system for implementing an exercise protocol for osteogenesis and/or muscular hypertrophy are disclosed. A method may include initiating, based on the exercise protocol, a warmup session for a first exercise, where the warmup session specifies applying a first target load threshold for a first period of time. The method includes determining the warmup session is complete after the first period of time elapses. Responsive to determining the warmup session is complete, the method includes initiating, based on the exercise protocol, a resting session specifying not applying loads for a second period of time. The method includes determining the resting session is complete after the second period of time elapses. Responsive to determining the resting session is complete, the method includes initiating, based on the exercise protocol, an exercise session specifying applying a second target load threshold for a third period of time.