Disclosed is an athletic posture analysis device including a pressure sensor plate for measuring the distribution of pressure applied to each of the feet of a user who performs an athletic action by the weight of the user, a display device for displaying athletic posture analysis information of the user, and a controller for performing control so as to specify the size and position of each of the feet of the user using information measured by the pressure sensor plate, to map a predetermined foot image, and to display the mapped foot image and the information regarding the distribution of pressure applied to each of the feet of the user in an overlapping fashion through the display device.

The present invention relates to a method for training of neuromuscular functions using a gait trainer comprising an electrical motor, a weight sensor and a cable and a gait trainer therefore.

The method may comprise an act of determining a counterbalance weight to be applied to the cable by the electrical motor and an act of measuring with the weight sensor an actual applied weight to the cable by the patient, wherein a drive direction of the electrical motor is determined based on comparing the counterbalance weight with the measuring of the actual applied weight to the cable by the patient.

The gait trainer may comprise a hoist system with a rotatable cable drum and a cable to wind or rewind the cable around a rotatable cable drum in accordance with the drive direction set, based on the compared counterbalance weight with the measuring of the actual applied weight to the cable by the patient.

The gait trainer may further comprise an electrical motor adapted for axial engagement with the rotatable cable drum and adapted to drive the rotatable cable drum in a drive direction. The gait trainer may further comprise a weight sensor, a control unit, a processor and a motor controller.

The hoist system may be freely suspended by the weight sensor.

A method for identifying and correcting muscular and skeletal disbalances through exercise includes recording, by a processor, using at least one sensor coupled to the processor, an exercise motion performed by a user, identifying, by the processor, a motion deficiency of the user based on the detected exercise motion, formulating, by the processor, a corrective motion based on the detected motion deficiency, and providing, by the processor, the corrective motion to the user, which also includes identifying motion deficiencies as far as range of motion, balance, symmetry, smoothness, strength, stamina and other motion characteristics, formulating corrective exercise program that involves multiple training machines, formulating exercises in terms of number of repetitions, cadence (frequency) or motion, range of motion, added resistance levels, communicating the corrective exercise program via the screen embedded on each machine, and guiding the user through each exercise, directing user to change exercise machines.

In one embodiment, a computer-implemented system includes treatment apparatuses configured to be manipulated by patients while performing an exercise session, patient interfaces associated with the plurality of patients, and a server computing device configured to receive first characteristics pertaining to the patients, and initiate a virtual shared session on the patient interfaces associated with the patients. The virtual shared session includes at least a set of multimedia feeds, and each multimedia feed of the set of multimedia feeds is associated with one or more of the patients. During the virtual shared session, the server computing device may present a first layout including the set of multimedia feeds, the first characteristics, or some combination thereof.

A system for measuring weight-lifting performance is described. The system comprises a collar that may be attached to a weight bar, wherein the collar comprises at least one motion sensor, at least one touch sensor, and a signal processor. The motion sensors comprise a barometric altimeter, a gyroscope, and/or an accelerometer that measure the motion of the weight bar during a lifting activity. Signals from the motion sensors are interpreted by the signal processor as physical activity data, which are then wirelessly transmitted to a multimedia device having a data processor. The data processor is configured to calculate performance metrics from the physical activity data and to display them to a user via a display on the multimedia device. Athletes may use the performance metric outputs from the data processor to monitor the form of their lifting exercises for training purposes, safety considerations, and self-improvement.

A training system includes a riding plate, a load sensor, a first center of gravity calculation unit, an image-capturing unit, a second center of gravity estimation unit, and a determination unit. The load sensor detects a load that the riding plate receives from a trainee. The first center of gravity calculation unit calculates a first center of gravity, which is a center of gravity of a load, based on the load detected by the load sensor. The image-capturing unit acquires image data of an image including a posture of the trainee. The second center of gravity estimation unit estimates a second center of gravity, which is a centroid position of the trainee, based on the image data. The determination unit determines that an alert to the trainee should be output based on a difference between the first center of gravity and the second center of gravity.

A body weight support system includes a trolley, a powered conductor operatively coupled to a power supply, and a patient attachment mechanism. The trolley can include a drive system, a control system, and a patient support system. The drive system is movably coupled to a support rail. At least a portion of the control system is physically and electrically coupled to the powered conductor. The patient support mechanism is at least temporarily coupled to the patient attachment mechanism. The control system can control at least a portion of the patient support mechanism based at least in part on a force applied to the patient attachment mechanism.

In various implementations, an adjustable dumbbell system may include a handle assembly, two or more weight plates, and a base. The weight plates and the handle assembly may be configured such that each weight plate can be selectively coupled to and decoupled from the handle assembly. The base may be configured to support each of the weight plates. The base may include a sensing mechanism that senses a characteristic of the weight plates where the characteristic depends upon which of the weight plates are supported by the base.

A treadmill includes a platform where the platform includes a first side panel and a second side panel spaced apart at a distance from the first side panel, and a gap defined between the first side panel and the second side panel. The treadmill also includes a running deck contained within the platform and exposed within the gap, a first pulley connected to the running deck, a second pulley connected to the running deck opposite the first pulley, a tread belt surrounding the first pulley and the second pulley, a first post removably connected to the platform, a second post removably connected to the platform, and a first rail transversely connected to the first post and the second post.

A variable stiffness treadmill system having a variable stiffness mechanism, a split-belt treadmill, a counterweight system, and a body weight support for supporting an individual and varying the stiffness below the individual on the treadmill for research and rehabilitation.