An apparatus for testing and exercising pelvic floor musculature, the apparatus comprising an elongate housing adapted for a pelvic floor aperture. The housing accommodates an oscillator and an accelerometer connected to a signal processor configured for communicating signals representative of values read from the accelerometer. A result is calculated from an applied oscillation and a response measured, and used for characterizing the musculature. In one embodiment the frequency resulting in the greatest response from the musculature is measured, and this frequency is applied during exercise.

Disclosed is a technical training garment configured for use with modular, interchangeable biomechanics units and or resistance modules. The garment may provide resistance to movement throughout an angular range of motion and or tracks a variety of biomechanical parameters such as stride length, stride rate, angular velocity and power expended by the wearer. The garment may be low profile, and worn by a wearer as a primary garment or beneath or over conventional clothing or athletic uniform. The device may be worn as a supplemental training and or diagnostic tool during conventional training protocols, or as a biomechanics or biometric data capture device during competition.

An Internet of Thing (IoT) device includes a camera coupled to a processor; and a wireless transceiver coupled to the processor. Blockchain smart contracts can be used with the device to facilitate secure operation.

Systems and methods for evaluating the performance of an athlete using a strain gauge is described. In some embodiments, the measurement system comprises a strain gauge and a central processing device. The strain gauge can include a power source, an inertial measurement unit (“IMU”) comprising a load cell, a microcontroller, and a wireless communication module. The strain gauge can be configured to output strain data at a rate of at least 1 kHz and the central processing device can be configured to receive the strain data transmitted from the wireless communication module.

Described herein are systems and methods for favorably coordinating a timing relationship between a musculoskeletal activity cycle and a cardiac cycle of a user. A method may include repetitively detecting a signal that correlates to a blood volume in the user; determining an actual value of the signal that varies with the timing relationship; computing a trend of the actual value of the signal; and adjusting the movement guidance based on the trend of the actual value. A system may include a prompt device configured to provide recurrently a movement guidance to the user for guiding performance of the rhythmic musculoskeletal activity; a sensor configured to provide a signal that correlates to a blood volume in the user; and a processor configured to determine an actual value of the signal that varies with the timing relationship and to adjust the movement guidance based on the trend of the actual value.

Disclosed is a technical training garment configured for use with modular, interchangeable electronics and resistance modules. The garment provides resistance to movement throughout an angular range of motion and tracks biomechanical parameters such as stride length, stride rate, angular velocity and incremental power expended by the wearer. The garment may be low profile, and worn by a wearer as a primary garment or beneath or over conventional clothing. Alternatively, the device may be worn as a supplemental training tool during conventional training protocols.

The present disclosure provides an extraction system capable of accurately extracting a region of an image where a leg part of a trainee is included. an extraction system including: an image acquisition unit that acquires an image obtained by capturing the trainee; an extraction unit that sets regions of the image on both left and right sides of the belt of the treadmill to regions of the image where the leg part of the trainee is not present and thereby distinguishes the set regions from the region of the image where the leg part of the trainee is included, and extracts the region of the image where the leg part of the trainee is included; and a mask processing unit that applies a mask to each of the regions of the image where the leg part of the trainee is not present.

A machine implemented method for simulated sports training includes the steps displaying a simulated environment having one or more virtual objects of a sporting event; displaying to a user a moving object in the simulated environment in accordance with object path data representing an object path and conditions of motion of the moving object as a function of time; correlating soundscape data to the object path data, the soundscape data being dependent on both object path of the moving object in the object path and the conditions of motion; and outputting sound to the user based on the correlated soundscape data either before or during displaying to the user the moving object, thereby providing spatial auditory clues for assisting tracking eye movements of the user to train the user to anticipate or recognize a trajectory of the moving object.

Systems and methods for providing algorithmic training and service recommendations are disclosed herein. In one embodiment, a method for treating a fatigue or an injury of an athlete includes: monitoring a first amplitude of a first muscle of the athlete by a first wearable muscle response sensor carried by the athlete; monitoring a second amplitude of a second muscle of the athlete by a second wearable muscle response sensor carried by the athlete; determining a difference between the first amplitude and the second amplitude; comparing the difference to a predetermined amplitude threshold; and based on the comparing, providing a treatment recommendation to the athlete.

An Internet of Thing (IoT) device includes a camera coupled to a processor; and a wireless transceiver coupled to the processor. Blockchain smart contracts can be used with the device to facilitate secure operation.