Abstract: A swing analysis system is disclosed herein. The swing analysis system includes a motion capture system comprising at least one motion capture device configured to detect motion of one or more body segments of a user and generate first output data, and further configured to detect the motion of a head and/or face of the user, a hand and/or fingers of the user, and/or an object being manipulated by the user, and generate second output data; and at least one data processing device operatively coupled to the motion capture system, the at least one data processing device configured to determine one or more swing performance parameters for the user using first positional information of the one or more body segments of the user, and/or second positional information for the head and/or face of the user, the hand and/or fingers of the user, and/or the object being manipulated by the user.

Abstract: A system for testing and/or training the vision of a user is disclosed herein. The system includes at least one camera, a visual display device having an output screen, and a data processing device operatively coupled to the at least one camera and the visual display device. In one embodiment, the data processing device is programmed to determine a head position, head velocity, and/or head speed of a user during a vision test or vision training routine from a plurality of images of the head of the user captured by the at least one camera. In another embodiment, the data processing device is programmed to determine, based upon an input signal received from a user input device, a contrast display setting for a screen background relative to at least one visual target, the contrast display setting enabling the user to gradually adapt to increasing levels of visual stimulation.

Abstract: A force and/or motion measurement system is disclosed herein. The force and/or motion measurement system includes a motion capture device comprising at least one camera configured to detect a motion of a person, the at least one camera being mounted in a floor of a room or in a top component of a force measurement assembly; and at least one data processing device operatively coupled to the at least one camera of the motion capture device, the at least one data processing device configured to determine a position and/or movement of one or more limbs of the person based upon output data from the at least one camera of the motion capture device.

Abstract: A system for estimating a three dimensional pose of one or more persons in a scene is disclosed herein. The system includes one or more cameras and a data processor configured to execute computer executable instructions. The computer executable instructions include: (i) receiving one or more images of the scene from the one or more cameras; (ii) extracting features from the one or more images of the scene for providing inputs to a first branch pose estimation neural network and a second branch pose estimation neural network; (iii) generating, by using a three dimensional reconstruction module, three dimensional reconstructions from two dimensional pose estimates produced by the second branch pose estimation neural network; and (iv) projecting, by using a reprojection module, the three dimensional reconstructions to camera image planes of respective image samples, and uploading the reprojections and image samples to an annotation server.

Abstract: A system for estimating a pose of one or more persons in a scene includes a camera configured to capture one or more images of the scene; and a data processor configured to execute computer executable instructions for: (i) receiving the one or more images of the scene from the camera; (ii) extracting features from the one or more images of the scene for providing inputs to a keypoint subnet and a person detection subnet; (iii) generating one or more keypoints using the keypoint subnet; (iv) generating one or more person instances using the person detection subnet; (v) assigning the one or more keypoints to the one or more person instances by learning pose structures from image data; and (vi) determining one or more poses of the one or more persons in the scene using the assignment of the one or more keypoints to the one or more person instances.

Abstract: A force measurement assembly is disclosed herein. The force measurement assembly includes a top component, the top component having a top surface for receiving at least one portion of the body of the subject; a single force transducer supporting the top component, the single force transducer configured to sense one or more measured quantities and output one or more signals that are representative of forces and/or moments being applied to the top surface of the top component by the subject; and a base component disposed underneath the single force transducer, the base component configured to be disposed on a support surface.

Abstract: A force measurement system is disclosed herein. The force measurement system includes a force measurement assembly configured to receive a subject, and one or more data processing devices operatively coupled to the force measurement assembly. In one embodiment, the one or more data processing devices are configured to determine a difference between a center of pressure and a center of mass for the subject from output force and/or moment data, and to determine the fall risk of the subject based upon the difference between the center of pressure and the center of mass for the subject. In another embodiment, the one or more data processing devices are configured to determine one or more balance parameters of the subject from the output force and/or moment data while the subject is stepping onto the top surface of the force measurement assembly and/or stepping off the top surface of the force measurement assembly.

Abstract: A system for estimating a three dimensional pose of one or more persons in a scene is disclosed herein. The system includes one or more cameras and a data processor configured to execute computer executable instructions. The computer executable instructions include: (i) receiving one or more images of the scene from the one or more cameras; (ii) extracting features from the one or more images of the scene for providing inputs to a first branch pose estimation neural network and second branch pose estimation neural network; (iii) generating a first training signal from the second branch pose estimation neural network using a three dimensional reconstruction module for input into the first branch pose estimation neural network; (iv) generating one or more volumetric heatmaps; and (v) applying a maximization function to the one or more volumetric heatmaps to obtain a 3D pose of one or more persons in the scene.

Abstract: A swing analysis system is disclosed herein. The swing analysis system includes a motion capture system and a force measurement assembly configured to receive a user; and at least one data processing device operatively coupled to the motion capture system and the force measurement assembly, the at least one data processing device configured to determine positional information for the one or more body segments of the user from the output data of the at least one motion capture device and output forces and/or moments from the force measurement assembly, the at least one data processing device further configured to determine one or more swing performance parameters for the user using at least one of: (i) the positional information of the one or more body segments of the user from the at least one motion capture device, and (ii) the output forces and/or moments from the force measurement assembly.

Abstract: A force measurement assembly is disclosed herein. The force measurement assembly includes a top component, the top component having a top surface for receiving at least one portion of the body of the subject; a single force transducer supporting the top component, the single force transducer configured to sense one or more measured quantities and output one or more signals that are representative of forces and/or moments being applied to the top surface of the top component by the subject; and a base component disposed underneath the single force transducer, the base component configured to be disposed on a support surface.

Abstract: A system for estimating a three dimensional pose of one or more persons in a scene is disclosed herein. The system includes at least one camera, the at least one camera configured to capture an image of the scene; and a data processor including at least one hardware component, the data processor configured to execute computer executable instructions. The computer executable instructions comprising instructions for: (i) receiving the image of the scene from the at least one camera; (ii) extracting features from the image of the scene for providing inputs to a convolutional neural network; (iii) generating one or more volumetric heatmaps using the convolutional neural network; and (iv) applying a maximization function to the one or more volumetric heatmaps to obtain a three dimensional pose of one or more persons in the scene.

Abstract: A system for testing and/or training the vision of a user is disclosed herein. The system includes a motion sensing device, a visual display device having an output screen, and a data processing device operatively coupled to the motion sensing device and the visual display device. In one embodiment, the data processing device is programmed to generate and display a configuration of a visual object on the visual display device during the same cycle of rotational head displacement when the actual head velocity or speed for the user reaches or exceeds a prescribed threshold percentage of the target velocity or speed. In another embodiment, the data processing device is programmed to increase a value of a prescribed amplitude or period for the head rotational displacement of the user for a successive trial of a test or training routine when a peak head velocity or speed is determined to have increased.

Abstract: A system for estimating a pose of one or more persons in a scene includes a camera configured to capture an image of the scene; and a data processor configured to execute computer executable instructions for: (i) receiving the image of the scene from the camera; (ii) extracting features from the image of the scene for providing inputs to a keypoint subnet and a person detection subnet; (iii) generating one or more keypoints using the keypoint subnet; (iv) generating one or more person instances using the person detection subnet; (v) assigning the one or more keypoints to the one or more person instances by learning pose structures from the image data; and (vi) determining one or more poses of the one or more persons in the scene using the assignment of the one or more keypoints to the one or more person instances.

Abstract: A force measurement system and a motion base used therein is disclosed herein. The force measurement system includes a force measurement assembly configured to receive a subject, a motion base for displacing the force measurement assembly, and one or more data processing devices operatively coupled to the force measurement assembly and an actuation system of the motion base. The motion base includes a support structure; a displaceable carriage coupled to the force measurement assembly; and an actuation system, the actuation system including one or more actuators operatively coupling the displaceable carriage to the support structure, the one or more actuators configured to displace the displaceable carriage with the force measurement assembly relative to the support structure, the displaceable carriage being suspended below a portion of the support structure.

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 plurality of force measurement assemblies, at least some of the plurality of force measurement assemblies configured to be independently displaceable from other ones of the plurality of force measurement assemblies such that one or more particular ones of the plurality of force measurement assemblies that are disposed underneath a subject varies over time. Each of the plurality of force measurement assemblies includes a top surface for receiving at least one portion of the body of the subject; and at least one force transducer, the at least one force transducer configured to sense one or more measured quantities and output one or more signals that are representative of forces and/or moments being applied to the top surface of the force measurement assembly by the subject.

Abstract: A swivel foot assembly for a force plate or balance plate is disclosed herein. The swivel foot assembly includes a foot attachment component including a stem portion and a body portion, the stem portion of the foot attachment component configured to be attached to a force plate or balance plate; and a foot base component including a receptacle for receiving the body portion of the foot attachment component, the foot base component configured to be disposed on a support surface. The swivel foot assembly is configured to accommodate an uneven support surface on which a force plate or balance plate is disposed so that a force measurement accuracy of the force plate or balance plate is not adversely affected by stresses resulting from the uneven support surface.

Abstract: A system for estimating a three dimensional pose and determining one or more biomechanical performance parameters of at least one person in a scene is disclosed herein. The system includes at least one camera and at least one measurement assembly, the at least one camera configured to capture an image of the scene; and a data processor including at least one hardware component, the data processor configured to execute computer executable instructions. The computer executable instructions comprising instructions for: (i) receiving the image of the scene from the at least one camera; (ii) extracting features from the image of the scene for providing inputs to a convolutional neural network; (iii) generating one or more volumetric heatmaps using the convolutional neural network; and (iv) applying a maximization function to the one or more volumetric heatmaps to obtain a three dimensional pose of the at least one person in the scene.

Abstract: A force measurement system is disclosed herein. The force measurement system includes a plurality of force measurement assemblies, at least some of the plurality of force measurement assemblies configured to be independently displaceable from other ones of the plurality of force measurement assemblies such that one or more particular ones of the plurality of force measurement assemblies that are disposed underneath a subject varies over time. Each of the plurality of force measurement assemblies includes a top surface for receiving at least one portion of the body of the subject; and at least one force transducer, the at least one force transducer configured to sense one or more measured quantities and output one or more signals that are representative of forces and/or moments being applied to the top surface of the force measurement assembly by the subject.

Abstract: A measurement and testing system is disclosed herein. The measurement and testing system includes a first measurement device and a second measurement device and a data processing device operatively coupled to the first measurement device and the second measurement device. In one or more embodiments, the data processing device is configured to synchronize each of a first plurality of data values from the first measurement device with each of a second plurality of data values from the second measurement device by determining which first timestamps associated with the first plurality of data values correspond to second timestamps associated with the second plurality of data values. In one or more other embodiments, the data processing device is configured to compute time-delayed values of one or more first measurement signals from a first measurement device using a predetermined time delay.