Abstract: Systems, methods, and computer-readable storage devices are disclosed for improving markerless motion analysis. One method including: receiving position data of joint centers of a body in motion captured by at least one camera; enhancing, using model equations, three-dimensional (3D) angular kinematic data of the position data of the joint centers of the body, wherein the enhanced 3D angular kinematic data includes increased measurement accuracy of the position data of the joint centers of the body; and providing the enhanced 3d angular kinematic data for display to evaluate motion performance.

Abstract: A spectroscopic method and system detects the amount of one or more substances or contaminants in or on a product, such as fecal contamination on meat samples.

Abstract: A spectroscopic method and system detects the amount of one or more substances or contaminants in or on a product, such as fecal contamination on meat samples.

Abstract: The present invention can provide a system to facilitate encryption/decryption of sensitive data/information online. It will revolutionize the way data is encrypted because it provides a way for individuals to discretely protect their data both at rest and in motion, and it allows users the ability to decide whom the data are shared with. The present invention can become valuable to businesses and companies by reducing the exposure of sensitive information in the event of a data breach, and by extension it reduces costs related to recovering from a data breach.

Abstract: A spectroscopic method and system detects the amount of one or more substances or contaminants in or on a product, such as fecal contamination on meat samples.

Abstract: Systems and methods of the present disclosure may include initializing a first plurality of inertial measurement units (IMUs) and a second plurality of IMUs, and attaching the first plurality of IMUs to a first segment of a subject and the second plurality of IMUs to a second segment of the subject. Such a method may also include obtaining data from the first plurality of IMUs and the second plurality of IMUs as the subject performs a motion, and determining an absolute position of the first segment and the second segment based on the data.