A wearable exercise apparatus may include one or more of: a torso support including an abdominal frame, a chest frame, a shoulder frame, a back frame, an arm frame, a first guide, a wrist frame, a second guide, a glove, a dial rotatably connected to the chest frame, a string connected to the dial, at least partially wound around the dial, and passing through an inner space of each of the torso support and the first guide, and an elastic band having one end connected to the string and the other end connected to the wrist frame or the glove, passing through an inner space of each of the arm frame and the second guide, and extending or contracting by a tension of the string.

The present disclosure relates to technology adapted for improved assessment of brain injuries in a human subject. For example, in some embodiments the invention relates to improved processing of data collected via an instrumented mouthguard device, including identification of false impacts. It will be appreciated that the invention is not limited to such a field of use, and is applicable in broader contexts. For example, the technology may be applied to detect other changes in physical performance, beyond head injuries. Furthermore, the technology may be applied in respect of other wearable devices which detect/measure head impacts, for example helmets.

A system and methods of fitting golf clubs, and more particularly, the systems and methods related to wedge type golf clubs, having multiple sole configurations and/or bounce angles. More specifically, the present invention is directed to system and methods that enable a player to quantify the performance of the golf club's sole interaction with the ground and to determine the sole configuration and bounce angle that provides the most optimal shot performance.

Systems and methods for tracking a sports object are provided. A sports object includes a core assembly arranged within a shell and having multiple components to receive and transmit signals corresponding to movement of the sports object, as well as to support operational tracking of the sports object. The core assembly includes a multi-layer printed circuit board (PCB) comprised of a plurality of sections. The PCB is configured to at least partially envelope the energy storage device at a geometric center of the assembly. The PCB is connected to one or more antennas (e.g., via one or more contacts), which may be arranged on one or more sections of the PCB, arranged on a surface of the shell, and/or in a volume within the shell.

The invention relates to an interactive training module, comprising at least one image-displaying wall (1, 2) with which motion sequences and/or objects can be displayed to a user, at least one position sensing device (7) with which the positions of at least the user's hands can be detected, and a control unit with which these positions can be compared with those which are stored in the control unit, wherein the control unit can display correction information to the user by means of the at least one image-displaying wall (1, 2) on the basis of the difference between the stored position and the detected position.

Provided is an instrument capable of promoting muscle stretching and increasing a range of motion of a joint. The instrument according to the present invention includes: a main body portion; a pressing portion that is provided to protrude from the main body portion, and a vibration applying unit that generates vibration, in which by grasping the main body portion with one hand, the pressing portion is configured to be brought into contact with skin on a Pacinian corpuscle present in the palm to press the Pacinian corpuscle while transmitting vibration to the Pacinian corpuscle, and the pressing portion can accurately be brought into contact with the Pacinian corpuscle to apply an appropriate pressure to the Pacinian corpuscle.

An exercise machine includes computers, sensors, and at least one robotic arm, each robotic arm has a connector through which the robotic arm exerts force and torque on a user. Each robotic arm moves along a reference trajectory. The computer controls the robotic arm according to the corresponding reference trajectory. The sensors include force-torque sensors configured to measure the force and torque exerted on the user and vision sensors configured to measure the user's body posture. A method for controlling the exercise machine includes selecting an exercise motion, setting initial values for resistance force magnitude parameters and state variables, determining the user is ready to start exercising, obtaining measurements from the sensors, and based on the obtained measurements, updating the resistance force magnitude parameters and the state variables.

A bat-and-ball swing training platform (STP) apparatus includes a center frame coupled to a front panel and to a rear panel to create an STP base. A rotational platform is coupled to the center frame and accessible through the front panel for rotationally supporting a user's foot. Two balance beam panels are retained in pockets defined by the center frame. A balance beam engagement slot is used to couple a balance beam to the STP base, where the two balance beam panels are coupled to create the balance beam.

An exercise machine platform that allows for emulation of the natural movements of real-world modes of transportation in stationary exercise machines such as bicycles, rowing machines, elliptical machines, and treadmills. The exercise machine platform comprises a base with one or more powered lifting mechanisms, a frame supported by the lifting mechanisms of the base which allows for roll, pitch, and/or vertical displacement movements, and a rocker plate supported by the frame that allows for additional independent movement from the roll, pitch, and/or vertical displacement movements of the frame. A dampening system controls the additional independent movement between the frame and rocker plate.

Motion capture system with a motion capture element that uses two or more sensors to measure a single physical quantity, for example to obtain both wide measurement range and high measurement precision. For example, a system may combine a low-range, high precision accelerometer having a range of 24 g to +24 g with a high-range accelerometer having a range of 400 g to +400 g. Data from the multiple sensors is transmitted to a computer that combines the individual sensor estimates into a single estimate for the physical quantity. Various methods may be used to combine individual estimates into a combined estimate, including for example weighting individual estimates by the inverse of the measurement variance of each sensor. Data may be extrapolated beyond the measurement range of a low-range sensor, using polynomial curves for example, and combined with data from a high-range sensor to form a combined estimate.