Abstract: A lower limb loading assessment system having at least one motion sensor mounted to a subject's lower limb that is configured to sense the tibial shockwaves experienced by the lower limb as the subject performs a repetitive physical activity involving repetitive footstrikes of the lower limb with a surface. The motion sensor comprises an accelerometer that is configured to sense acceleration data in at least three axes and generate representative acceleration data over a time period associated with the physical activity. The acceleration data represents a series of discrete tibial shockwaves from the discrete footstrikes. A data processor receives the tibial shockwave data and processes that to generate output feedback data comprising data to assist the subject to minimize future loading in their lower limbs.

Abstract: A lower limb loading assessment system having at least one motion sensor mounted to a subject's lower limb that is configured to sense the tibial shockwaves experienced by the lower limb as the subject performs a repetitive physical activity involving repetitive footstrikes of the lower limb with a surface. The motion sensor comprises an accelerometer that is configured to sense acceleration data in at least three axes and generate representative acceleration data over a time period associated with the physical activity. The acceleration data represents a series of discrete tibial shockwaves from the discrete footstrikes. A data processor receives the tibial shockwave data and processes that to generate output feedback data comprising data to assist the subject to minimize future loading in their lower limbs.

Abstract: A rule handler may receive a first routing rule and a second routing rule, each routing rule characterizing at least one potential physical transportation route. A rule converter may convert the first routing rule and the second routing rule into a first finite automaton (FA) and a second finite automaton, respectively, and may combine the first finite automaton and the second finite automaton into a finite automaton network graph. A graph comparator may then compare the finite automaton network graph to existing physical transportation routes, and a route selector may select, based on the comparing, at least one feasible physical transportation route from the existing physical transportation routes, the at least one feasible physical transportation route being an instance of the at least one potential physical transportation route.

Abstract: A lower limb loading assessment system having at least one motion sensor mounted to a subject's lower limb that is configured to sense the tibial shockwaves experienced by the lower limb as the subject performs a repetitive physical activity involving repetitive footstrikes of the lower limb with a surface. The motion sensor comprises an accelerometer that is configured to sense acceleration data in at least three axes and generate representative acceleration data over a time period associated with the physical activity. The acceleration data represents a series of discrete tibial shockwaves from the discrete footstrikes. A data processor receives the tibial shockwave data and processes that to generate output feedback data comprising data to assist the subject to minimize future loading in their lower limbs.

Abstract: A lower loading assessment system having at least one motion sensor mounted to a subject's lower limb that is configured to sense the tibial shockwaves experienced by the lower limb as the subject performs a repetitive physical activity involving repetitive footstrikes of the lower limb with a surface. The motion sensor comprises an accelerometer that is configured to sense acceleration data in at least three axes and generate representative acceleration data over a time period associated with the physical activity. The acceleration data represents a series of discrete tibial shockwaves from the discrete footstrikes. A data processor receives the tibial shockwave data and processes that to generate output feedback data comprising data to assist the subject to minimize future loading in their lower limbs.

Abstract: Methods, devices, and computer-readable media that allow real-time rendering while navigating virtually about or through a digital 3-D volumetric model. Examples provide techniques to facilitate real-time rendering while navigating through and around the 3-D volumetric model that can have many thousands of particles, where the particles can have emissive, occlusive, and translucent properties. Such complex particles of the 3-D volumetric model are presorted along predefined viewing directions in order to enable real-time rendering from when a navigation control has been entered. Presorting of data may be performed at a processing device(s) located across a public or private network from a user's device on which the real-time rendering is performed.

Abstract: A lower loading assessment system having at least one motion sensor mounted to a subject's lower limb that is configured to sense the tibial shockwaves experienced by the lower limb as the subject performs a repetitive physical activity involving repetitive footstrikes of the lower limb with a surface. The motion sensor comprises an accelerometer that is configured to sense acceleration data in at least three axes and generate representative acceleration data over a time period associated with the physical activity. The acceleration data represents a series of discrete tibial shockwaves from the discrete footstrikes. A data processor receives the tibial shockwave data and processes that to generate output feedback data comprising data to assist the subject to minimize future loading in their lower limbs.

Abstract: A method and system for foveated image rendering are provided herein. The method includes tracking a gaze point of a user on a display device and generating a specified number of eccentricity layers based on the gaze point of the user. The method also includes antialiasing the eccentricity layers to remove artifacts, rendering a foveated image based on the eccentricity layers, and displaying the foveated image to the user via the display device.

Abstract: Methods, devices, and computer-readable media that allow real-time rendering while navigating virtually about or through a digital 3-D volumetric model. Examples provide techniques to facilitate real-time rendering while navigating through and around the 3-D volumetric model that can have many thousands of particles, where the particles can have emissive, occlusive, and translucent properties. Such complex particles of the 3-D volumetric model are presorted along predefined viewing directions in order to enable real-time rendering from when a navigation control has been entered. Presorting of data may be performed at a processing device(s) located across a public or private network from a user's device on which the real-time rendering is performed.

Abstract: A computer-implemented method for a booking based demand forecast problem includes converting time series data into a multivariate time series, training a multivariate time series model using the converted multivariate time series, forecasting results using the multivariate time series model and aggregating the results.

Abstract: A rule handler may receive a first routing rule and a second routing rule, each routing rule characterizing at least one potential physical transportation route. A rule converter may convert the first routing rule and the second routing rule into a first finite automaton (FA) and a second finite automaton, respectively, and may combine the first finite automaton and the second finite automaton into a finite automaton network graph. A graph comparator may then compare the finite automaton network graph to existing physical transportation routes, and a route selector may select, based on the comparing, at least one feasible physical transportation route from the existing physical transportation routes, the at least one feasible physical transportation route being an instance of the at least one potential physical transportation route.

Abstract: A computer-implemented method includes receiving, at a rental company, a customer's order to hire a transport equipment unit of a first type beginning on a start date. The rental company has an inventory of transport equipment units for hire and a network of diverse storage sites. The computer-implemented method further includes locating one or more transport equipment units of the first type in the rental company's inventory of transport equipment available for hire by the start date, computing the rental company's costs associated with picking up each of the located transport equipment units of the first type for delivery to the customer, and selecting, based on consideration of the rental company's picking up costs, one of the located transport equipment units for delivery to customer.

Abstract: This patent relates to thin plate spline (TPS)-based interpolation techniques for representing free-flowing vector graphics (VG) images based on user-specified features, such as points and curves. One or more features can be identified in a pixel grid. A higher-order least squares interpolating function with a TPS smoothness objective can then be utilized to interpolate individual color values to individual pixels of the pixel grid. Smoothness terms of the function that impose smoothness penalties can be interrupted in certain regions of the pixel grid based on attributes of the user-specified features. For example, a curve attribute can specify a particular color value(s), add or remove a smoothness penalty, or anisotropically impose a first derivative constraint in a particular direction.

Abstract: A method and system for foveated image rendering are provided herein. The method includes tracking a gaze point of a user on a display device and generating a specified number of eccentricity layers based on the gaze point of the user. The method also includes antialiasing the eccentricity layers to remove artifacts, rendering a foveated image based on the eccentricity layers, and displaying the foveated image to the user via the display device.

Abstract: A dense guide image or signal is used to inform the reconstruction of a target image from a sparse set of target points. The guide image and the set of target points are assumed to be derived from a same real world subject or scene. Potential discontinuities (e.g., tears, edges, gaps, etc.) are first detected in the guide image. The potential discontinuities may be borders of Voronoi regions, perhaps computed using a distance in data space (e.g., color space). The discontinuities and sparse set of points are used to reconstruct the target image. Specifically, pixels of the target image may be interpolated smoothly between neighboring target points, but where neighboring target points are separated by a discontinuity, the interpolation may jump abruptly (e.g., by adjusting or influencing relaxation) at the discontinuity. The target points may be used to select only a subset of the discontinuities to be used during reconstruction.

Abstract: This patent relates to thin plate spline (TPS)-based interpolation techniques for representing free-flowing vector graphics (VG) images based on user-specified features, such as points and curves. One or more features can be identified in a pixel grid. A higher-order least squares interpolating function with a TPS smoothness objective can then be utilized to interpolate individual color values to individual pixels of the pixel grid. Smoothness terms of the function that impose smoothness penalties can be interrupted in certain regions of the pixel grid based on attributes of the user-specified features. For example, a curve attribute can specify a particular color value(s), add or remove a smoothness penalty, or anisotropically impose a first derivative constraint in a particular direction.

Abstract: A dense guide image or signal is used to inform the reconstruction of a target image from a sparse set of target points. The guide image and the set of target points are assumed to be derived from a same real world subject or scene. Potential discontinuities (e.g., tears, edges, gaps, etc.) are first detected in the guide image. The potential discontinuities may be borders of Voronoi regions, perhaps computed using a distance in data space (e.g., color space). The discontinuities and sparse set of points are used to reconstruct the target image. Specifically, pixels of the target image may be interpolated smoothly between neighboring target points, but where neighboring target points are separated by a discontinuity, the interpolation may jump abruptly (e.g., by adjusting or influencing relaxation) at the discontinuity. The target points may be used to select only a subset of the discontinuities to be used during reconstruction.

Abstract: The food preparation kitchen of the present invention provides an arrangement and method of use of kitchen equipment to facilitate a combination of batch preparation and made-to-order assembly of fast-food sandwiches.