A ball, and in particular a baseball or softball, including one or more sensors such as accelerometers and/or inertial measurement units, and systems and methods using the same to improve a pitcher's pitching performance are described herein. In some embodiments, the ball may include one or more inertial measurement units and/or accelerometers capable of monitoring motion of the ball while it is thrown. Various types of pitches may be selected, and in response to the inertial measurement unit(s) and/or accelerometer(s) detecting certain parameters corresponding to a selected pitch, one or more indicators may be caused to perform an action. For example, one or more illuminating elements located on the ball may turn a first color in response to detecting parameters corresponding to the selected pitch.

A walking training apparatus 1 includes a leg robot 2 attached to a leg of a walking trainee, a motor 261 configured to rotationally drive a knee joint 22 of the leg robot 2, a control unit 332 configured to control the motor 261 so that the motor 261 rotationally drives the knee joint 22 in a leg-idling period in a gait motion of the walking trainee, a motor torque detection unit 262 configured to detect a motor torque, the motor torque being a torque generated by the motor 261, and a determination unit 333 configured to determine whether or not the walking trainee is in a spasticity state or a rigidity state by using a value of the motor torque detected in the leg-idling period by the motor torque detection unit 262.

An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

An upper-limb rehabilitation assisting device includes first and second handles coupled to first and second rotating shafts and rotationally operated by hands on a paralytic limb side and a healthy limb side; first and second biosignal detecting parts that detect first and second biosignals corresponding to the paralytic limb side and the healthy limb side; first and second drive parts that drive the first and second rotating shafts; and a control part that performs a cooperative control of the first rotating shaft and the second rotating shaft. The control part controls the torques of the first and second drive parts at the time of the cooperative control of the first and second rotating shafts the basis of the degree of cooperation between the first and second biosignals.

An exercise device comprises a flywheel, a driving assembly, and a control assembly. The driving assembly drives the flywheel to rotate. The control assembly comprises an angle sensor for measuring the change of angular displacement of the flywheel during a specific period of time. The control assembly calculates the angular velocity or the angular acceleration of the flywheel by the measured angular displacement during the specific period of time. The control assembly determines if the flywheel is to be stopped according to at least a criterion.

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.

Provided is a training device capable of executing a plurality of operation modes, in which an operation rod is appropriately operated according to an operation mode. The training device includes the operation rod, a plurality of motors, a plurality of force detection units, and a plurality of first command calculation units. The operation rod allows a limb to move. The plurality of motors operate the operation rod in the direction of degree of freedom in which the operation rod can move. Each of the force detection units detects a corresponding force component and outputs a force component signal. The first command calculation units are connected to the corresponding force detection units. Each of the first command calculation units calculates a first motor control command on the basis of the corresponding force component signal.

A resilient rod that provides adjustable directional resistance is disclosed. In one aspect of the invention, a resistance level may be determined based on a thickness of the rod and a position of an applied force with respect to a fulcrum point. In another aspect of the invention, at least one spine may be attached to the beam to increase a diameter of the beam along one axis. The resistance level may be determined based on the thickness of the rod, the position of the applied force and an orientation of the at least one spine with regard to the direction of the applied force. In other aspects of the invention, the resilient rods may be incorporated into a golf club that provides for adjustable resistance levels.

The invention relates to a device for posturography having a measuring platform, which comprises a standing surface for a test person having a base element on which the measuring platform is tiltably supported by means of a tilting apparatus, and having an air cushion means with which an air cushion bearing the base element is formed, wherein a damping member having a damping material is arranged between the measuring platform and the base element, by which damping member a tilting movement of the measuring platform is damped.

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.