A method and apparatus for simulating, measuring and recording a subject's ability to perform a varying range of barrier reaches is provided. The apparatus includes a variable barrier reach instrument for simulating an actual barrier that the subject may lean against in performing a work task The variable barrier reach instrument may include a physical barrier having a substantially horizontal upper surface at a height above a base point. A sensing and recording device may be positioned proximate to the variable barrier reach instrument for sensing and recording a plurality of barrier reach data points as the subject bends forward against the physical barrier. A computer and an associated software program are also provided into which the recorded data points are entered. An algorithm may be contained within the software program that generates an interpolated arc reflecting the subject's reach at the physical barrier height from the recorded data points. Storage means associated with the computer are further provided for storing the interpolated arc and recorded data points.

A device or system including an assessment device with a body with a top surface ruled with a pattern to or instruct students in their parts during a physical position or movement between different positions, such as may be learned in a class or virtual class. The rulings include vertical lines and horizontal lines at various spaces, spacings, and intersections.

A System for Measuring Body Kinetics includes a wearable device configured to be wrapped around a joint. A microprocessor is attached to the wearable device. One or more Inertial Measurement Units (IMUs) are connected to the microprocessor and arranged on the wearable device. The IMUs are arranged and configured to provide kinetic data concerning the joint to the microprocessor. A wireless transmission component is connected to the microprocessor. The microprocessor is configured to receive kinetic data from the IMUs, and to transmit the kinetic data by way of the wireless transmission component to a central processor or other device. An algorithm resides within the microprocessor or the central processor or other device, and is configured to determine the position of each IMU from the kinetic data. The wearable device may be constructed of fabric, strap, adhesive tape, or a combination thereof.

Contemplated systems for monitoring and analysis of human motion synthesis are disclosed herein that include: at least one garment configured to be worn by a user, at least one inertial sensor, wherein the at least one inertial sensor is integrated with or into the at least one garment, an information system, wherein the information system communicates with the at least one inertial sensor to produce a set of data, at least one musculorientation metric generated by the information system, and at least one performance report that is produced from the analysis of the at least one musculorientation metric.

A monitoring and/or therapy apparatus can include a contact layer having a stretchable or substantially stretchable substrate, at least one strain sensor coupled with the contact layer, and electronic circuitry electronically coupled with the at least one strain sensor configured to determine an amount of an elongation of the at least one strain sensor based on a change in a resistance or capacitance of the at least one strain sensor. The at least one strain sensor can include a plurality of stretchable tracks positioned on the substrate, and can be configured such that the resistance of the at least one strain sensor increases as the contact layer is elongated and/ or curved. In some arrangements, the apparatus and/or the substrate can be attached to or adjacent to a user’s joint, and/or a wound, and can be configured to have reduced pressure applied to the space under the contact layer..

A method of calibrating a pair of body mounted sensors, the method comprising the steps of: (a) in a baseline position of a joint to be measured, determining a first offset between a measured joint angle and an angle between pair of sensors, one mounted on each side of the joint to be measured, so as to calibrate the sensors; (b) after at least one of the sensors has been removed and reapplied, placing the joint back into the baseline position such that the sensors are in a second configuration relative to each other; and (c) determining a second offset between the measured knee angle and an angle between the pair of sensors in the second configuration in order to recalibrate the sensors such that, in each of the first and second configurations, the same joint angle for the baseline position is reported.

A method for optimizing at least one exercise for a first user. The method includes receiving first user data including attribute data associated with the first user and outcome data associated with the exercise. The method includes generating, based on the first user data, initial target data. The initial target data is associated with at least one of the first user, the exercise apparatus, and the exercise. The method includes receiving measurement data associated with at least one of the first user, the exercise apparatus, and the exercise. The measurement data is associated with one or more sensors. The method includes determining differential data based on one or more differences between the initial target data and the measurement data. The method includes generating, via an artificial intelligence engine and based on the differential data, a machine learning model trained to generate optimized target data.

Devices and methods are disclosed for quantifying temporal changes in human anterior cruciate ligament (ACL) structural properties, such as Anterior-Posterior tibial shear force (TSF) and Anterior-Posterior tibial shear displacement (TSD) for testing ACL overuse injury during training and minimizing or preventing ACL injury.

A motion data processing method and a motion monitoring system provided in the present disclosure may process an electromyography (EMG) signal in the frequency domain or time domain to identify an abnormal signal in the EMG signal, such as an abrupt signal, a missing signal, a saturation signal, an oscillation signal, etc. caused by a high-pass filtering algorithm. The motion data processing method and the motion monitoring system may further perform a data sampling operation on the EMG signal through a data sampling algorithm, and predict data corresponding to the time point when the abnormal signal appears based on the sampling data, so as to obtain prediction data, and replace the abnormal signal by using the prediction data to correct the abnormal signal. The motion data processing method and the motion monitoring system may not merely accurately identify the abnormal signal, but further correct the abnormal signal, so that the corrected data may be more in line with an actual motion of a user, thereby improving user experience.

A brace configured for attachment to a joint of a subject is provided. The brace includes a first arm having a first end and a second end. The brace includes a second arm having a first end and a second end. The brace includes a hinge assembly coupling the first end of the first arm with the first end of the second arm such that the first arm and the second arm are movable to different relative angular orientations. The brace includes a potentiometer coupled to the hinge assembly. A method of monitoring a relative angular orientation of a first arm of a brace relative to a second arm of the brace is also provided. The method includes monitoring an output of a potentiometer coupled to one of the first arm and the second arm.