Abstract: A body sway measurement system is disclosed herein. The body sway measurement system includes an inertial measurement unit or camera configured to generate time series output data for determining one or more parameters indicative of the body sway of a user; and a mobile device or other computing device having a data processor, the data processor including at least one hardware component, the data processor being operatively coupled to the inertial measurement unit or camera, the data processor configured to receive the time series output data from the inertial measurement unit or camera, and the data processor and/or a cloud server configured to determine the one or more parameters indicative of the body sway of the user using a trained neural network.

Abstract: A measurement and testing system is disclosed herein. The measurement and testing system includes at least one data processing device operatively coupled to at least one actuator, a visual display device, and a user input device. The at least one data processing device being configured to execute computer executable stored instructions for: (i) generating a graphical user interface with a protocol section comprising one or more protocols with one or more actuator parameters for controlling the at least one actuator for a time period; (ii) receiving an input signal from the user input device that initiates an execution of one of the one or more protocols for controlling the at least one actuator; and (iii) upon receiving the input signal from the user input device, controlling the at least one actuator for the time period in accordance with the executed one of the one or more protocols.

Abstract: A head-mounted display system is disclosed herein. The head-mounted display system includes an input device, the input device configured to output an input signal based upon an input response by a user; a head-mounted visual display device having an output screen, the head-mounted visual display device configured to display one or more screen images on the output screen; and at least one data processing device operatively coupled to the input device and the head-mounted visual display device. The at least one data processing device is programmed to generate and display at least one displaceable visual object and visual target on the output screen of the head-mounted visual display device; receive an input signal from the input device based upon an input response by the user; and control the movement of the displaceable visual object towards the visual target based upon the input signal received from the input device.

Abstract: A measurement system includes a motion capture system comprising at least one motion capture device configured to detect the motion of one or more body portions of a system user and generate output data; a sensory output device, the sensory output device configured to generate sensory feedback for delivery to the system user; and at least one data processing device operatively coupled to the motion capture system and the sensory output device, the at least one data processing device further configured to determine, by utilizing a trained neural network, one or more poses and/or movements of the one or more body portions of the system user from the motion capture output data, and to provide sensory feedback to the system user, by means of the sensory output device, as to conformity of the one or more poses and/or movements to one or more reference poses and/or movements.

Abstract: A force measurement system is disclosed herein. The force measurement system includes a force measurement assembly configured to receive a subject thereon, and one or more data processing devices operatively coupled to the force measurement assembly. In one or more embodiments, the one or more data processing devices are operatively coupled to the force measurement assembly, the one or more data processing devices configured to receive one or more signals that are representative of forces and/or moments being applied to a top surface of the force measurement assembly by the subject, and to convert the one or more signals into output forces and/or moments, the one or more data processing devices further configured to predict one or more balance parameters of the subject using a trained neural network.