Abstract:
A head-mounted display system is disclosed herein. In one or more embodiments, a system for body pose estimation in a virtual reality or augmented reality environment includes one or more egocentric cameras coupled to a user configured to capture video data from a perspective of the user; an instrumented flooring system including one or more sensors configured to detect foot placement and/or movement of the user, and generate sensor output data based on the detected foot placement and/or movement of the user; and at least one data processing device being configured to receive and integrate the video data from the one or more egocentric cameras and the sensor output data from the instrumented flooring system using sensor fusion algorithms, thereby generating a comprehensive body pose estimation for the user.
Abstract:
A system for training neural networks that predict the parameters of a human mesh model is disclosed herein. The system includes at least one camera and a data processor configured to execute computer executable instructions for: receiving a first frame and a second frame of a video from the at least one camera; extracting first and second features from the first and second frames of the video; inputting the sequence of frames of the video into a human mesh estimator module, the human mesh estimator module estimating mesh parameters from the sequence of frames of the video so as to determine a predicted mesh; and generating a training signal for input into the human mesh estimator module by using at least one of: (i) a depth loss module and (ii) a rigid transform loss module.
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 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 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.
Abstract:
A system and method for measuring the head position and postural sway of a subject is disclosed herein. The system generally includes a head position detection device, a postural sway detection device, and a data processing device operatively coupled to the head position detection device and the postural sway detection device. During the execution of the method, the position of the head of the subject is measured using the head position detection device, and the postural sway of the subject is measured using the postural sway detection device. Also, during the execution of the method, it is determined whether the subject is displacing his or her head over a prescribed range by comparing the head position information determined by using the head position measurement device to a predetermined head displacement range.
Abstract:
A method for measuring the gaze direction and postural sway of a subject is disclosed herein. The system generally includes an eye movement tracking device, a head position detection device, a postural sway detection device, and a data processing device operatively coupled to the eye movement tracking device, the head position detection device, and the postural sway detection device. During the execution of the method, the eye movement and/or eye position of the subject is measured using the eye movement tracking device, the position of the head of the subject is measured using the head position detection device, and the postural sway of the subject is measured using the postural sway detection device. A method for measuring the eye movement and/or eye position and postural sway of a subject during a balance test and/or a concussion screening test and a method for assessment of a subject are also disclosed herein.
Abstract:
A force measurement system is disclosed herein. The force measurement system includes a force measurement assembly configured to receive a subject thereon, at least one visual display device having an output screen, and one or more data processing devices configured to generate a screen image comprising a plurality of substantially concentric bands on the output screen of the at least one visual display device that is configured to create a visual stimuli for the subject disposed on the force measurement assembly. A method for testing a subject is also disclosed herein. The method for testing a subject utilizes reality-altering glasses that are used to perturb a visual input of a subject. Also, in one or more embodiments, the reality-altering glasses are used in conjunction with a force measurement assembly configured to receive the subject thereon.
Abstract:
A system and method for merging a first database with a second database (one-way merge), and a system and method for merging two databases with one another (two-way merge) is described herein. During the one-way merge, new or updated records are transferred from a copy of a client database to a server database after it is determined that the server database either does not contain one or more records in the copy of the client database or contains an older version of one or more records in the copy of the client database. During the two-way merge, new or updated records are transferred between a client database and a server database after it is determined that either the client database or the server database does not contain one or more records in the other database or contains an older version of one or more records in the other database.