System and method to monitor an exercise posture of at least one user are provided. The system includes a flexible substrate placed on top of a mat coupled with one or more contact sensors configured to generate a contact signal upon making a contact of at least one part of a body of the corresponding at least one user with the mat while performing the at least one exercise on the mat. The system further includes a processing subsystem configured to receive the contact signal, and to receive an angle signal generated by at least one inertial sensor upon measuring an angle of at least one user while performing the at least one exercise, to generate a combined signal, to compare the combined signal with a pre-defined set of exercise posture signals and to monitor the exercise posture of the at least one user.

A first exemplary aspect is a walking training apparatus including: an walking assistance apparatus attached to a lower limb of a trainee; at least one wire connected to the lower limb directly or through the walking assistance apparatus; a first wire winding mechanism configured to wind the wire for applying a pull-up force to the wire; a sensor for detecting displacement information according to a displacement of a position connected to the wire in a lateral direction; and a controller configured to control the first wire winding mechanism based on the displacement information.

Systems, media and methods for an interactive speed ladder are provided. A system includes a speed ladder that has parallel side members and parallel cross members each connecting each of the side members. The system may further include a receiving module configured to receive light path sequence data and foot movement data of a user relative to the speed ladder, wherein the light path sequence data and the foot movement data are received from different sources. The system may also further include lights, located within the cross members, configured to display a light path sequence based upon sequence data received prior to a start of the sequence and an output module configured to output user foot movement data.

A gait training machine includes a base, a driving module including a driving circuit, a motor and two moving platforms, a sensor module including a left pedal, a right pedal, a plurality of pressure sensors and a position sensor, a controller electrically connected to the driving circuit, each pressure sensor and the position sensor and a signal processing module disposed in the controller and including a gait detecting unit and a gait determining unit with a center-of-gravity calculation logic and a gait determining logic stored therein. Using the above gait training machine to determine whether the bearing weight of the left pedal and the right pedal is correct, and whether the center-of-gravity position is correct, so that the user can know the ankle joint movement and the center-of-gravity during gait training to adjust the health gait posture.

Embodiments are disclosed for a wearable computer with fitness machine connectivity for improved activity monitoring. In an embodiment, a method comprises: establishing, by a processor of a wireless device, a wireless communication connection with a fitness machine; obtaining, by the processor, machine data from the fitness machine; determining, by the processor, a workout session according to the machine data; initiating the workout session on the wireless device; during the workout session: obtaining, from a sensor of the computing device, physiological data of a user of the fitness machine; determining, by the processor, fitness data for the user based on the physiological data, the machine data and at least one user characteristic; and sending, by the processor, the fitness data to the fitness machine.

A footwear system that includes a left having a left toe region, left forefoot region, a left arch region and a left heel region, a left outsole, a left upper secured to the left outsole, and a left sensor system that includes at least a first left heel pressure sensor positioned in the left heel region, and at least a first left forefoot pressure sensor positioned in the left forefoot region. The footwear system also includes a right shoe that includes a right toe region, a right forefoot region, a right arch region and a right heel region, a right outsole, a right upper secured to the right outsole, and a right sensor system that includes at least a first right heel pressure sensor positioned in the right heel region, and at least a first right forefoot pressure sensor positioned in the right forefoot region.

A force measurement system is disclosed herein. The force measurement system includes a force measurement assembly configured to receive a subject thereon, and one or more data processing devices operatively coupled to the force measurement assembly. In one or more embodiments, the one or more data processing devices are operatively coupled to the force measurement assembly, the one or more data processing devices configured to receive one or more signals that are representative of forces and/or moments being applied to a top surface of the force measurement assembly by the subject, and to convert the one or more signals into output forces and/or moments, the one or more data processing devices further configured to predict one or more balance parameters of the subject using a trained neural network.

An apparatus, system and method for exercise tracking that comprises at least one mother unit, equipment tag, base unit, and RF user tag. The mother unit comprises equipment tag reader and sensor and is joined to an equipment in a gym. The tag is placed on the equipment and in communication with the mother unit. The base unit comprises a RFID reader. A plurality of mother units is in communication with the base unit. The RF and GPS enabled user tag is provided and joined to user in gym and in communication with the mother unit. The apparatus is a substantially hands-free. User profile and user exercise data is captured. A computer system in communication with the base unit is provided. Data captured by the mother unit is communicated to and analyzed by the computer system, and feedback communicated to the mother unit is communicated to user.

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.

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.