Abstract: Described is a method for controlling motion of a digital character, comprising: receiving one or more behaviour commands; translating the one or more behaviour commands into a time-sequence of channel parameters for one or more animation channels; receiving one or more motion sources; determining one or more motion parameters by applying the channel parameters to corresponding blend nodes in a blend tree based on the motion sources; and controlling motion of the digital character based on the one or more motion parameters. Also described is a system implementing the method.

Abstract: A device for detecting exposure to light includes: a photo-responsive layer including a photochromic material; a skin-mimicking cover layer covering a first side of the photo-responsive layer; and an adhesive layer configured to couple a second side of the photo-responsive layer opposite the first side to a surface.

Abstract: A computer graphics animation system is provided to assist prevent the generation of undesirable shapes, by providing realistic examples of a subject which are incorporated into an interpolation function which can be used to animate a new shape deformation of the subject.

Abstract: A computer graphics animation system is provided to assist prevent the generation of undesirable shapes, by providing realistic examples of a subject which are incorporated into an interpolation function which can be used to animate a new shape deformation of the subject.

Abstract: Skeletal Animation is improved using an Actuation System for animating a Virtual Character or Digital Entity including a plurality of Joints associated with a Skeleton of the Virtual Character or Digital Entity and at least one Actuation Unit Descriptor defining a Skeletal Pose with respect to a first Skeletal Pose. The Actuation Unit Descriptors are represented using Rotation Parameters and one or more of the Joints of the Skeleton are driven using corresponding Actuation Unit Descriptors.

Abstract: Disclosed are a multi-guidewire balloon dilatation catheter structure, a dilatation catheter mechanism and a medical device. The multi-guidewire balloon dilatation catheter comprises a balloon, a first guidewire channel, a second guidewire channel and a third guidewire channel. The first guidewire channel is at least partially passed through the balloon. The second guidewire channel is at least partially located at the distal end of the balloon. The third guidewire channel is at least partially located at the proximal end of the balloon. In the multi-guidewire balloon dilatation catheter structure of this embodiment, each guidewire channel can be used for accommodating the guidewire by providing the first guidewire channel and the second/third guidewire channel to assemble various devices on the single catheter of the present invention, thereby realizing simultaneous execution of device guidance, plaque cutting, guidewire anchoring, etc. The structure is simple and good in use effect.

Abstract: A computer graphics animation system is provided to assist prevent the generation of undesirable shapes, by providing realistic examples of a subject which are incorporated into an interpolation function which can be used to animate a new shape deformation of the subject.

Abstract: Methods and systems describe providing face mesh deformation with detailed wrinkles. A neutral mesh based on a scan of a face is provided along with initial control point positions on the neutral mesh and user-defined control point positions corresponding to a non-neutral facial expression. A radial basis function (RBF) deformed mesh is generated based on RBF interpolation of the initial control point positions and the user-defined control point positions. Predicted wrinkle deformation data is then generated by one or more cascaded regressors networks. Finally, a final deformed mesh is provided with wrinkles based on the predicted wrinkle deformation data.

Abstract: Disclosed are a multi-guidewire balloon dilatation catheter structure, a dilatation catheter mechanism and a medical device. The multi-guidewire balloon dilatation catheter comprises a balloon, a first guidewire channel, a second guidewire channel and a third guidewire channel. The first guidewire channel is at least partially passed through the balloon. The second guidewire channel is at least partially located at the distal end of the balloon. The third guidewire channel is at least partially located at the proximal end of the balloon. In the multi-guidewire balloon dilatation catheter structure of this embodiment, each guidewire channel can be used for accommodating the guidewire by providing the first guidewire channel and the second/third guidewire channel to assemble various devices on the single catheter of the present invention, thereby realizing simultaneous execution of device guidance, plaque cutting, guidewire anchoring, etc. The structure is simple and good in use effect.

Abstract: Disclosed is a multifunctional balloon dilatation catheter for intracorporeal membrane oxygenation, comprising: a catheter hub, a dilatation balloon, and M channels. The M channels comprise at least a balloon dilatation channel for dilating the narrowed part of the airway, a positioning & detection channel for positioning or detecting while inserting, a supply channel for continuous oxygen supply or drug administration to the patient, and a secretion removal channel for removing secretions from the airway. The catheter hub is a multi-channel connection device, through which the M channels are respectively connected to the external therapeutic devices of the catheter. The catheter is inserted into a bronchiole of the lungs. When using the catheter for emergency treatment of patients with pneumonia, especially COVID-19, measures such as airway dilatation, oxygen supply, sputum suction and biopsy can be simultaneously performed, thereby improving the survival rate of patients and reducing lung damage.

Abstract: Implementations include receiving two or more time-series data sequences representative of a target process executed within a physical environment, executing automated time-series process segmentation to provide a plurality of subsequence segments for each of the two or more time-series data sequences, each subsequence segment corresponding to a phase of the target process, processing the two or more subsequence segments using at least one time-series transformation to provide a feature data set for each subsequence segment, applying each feature data set to provide time-series models for anomaly detection and forecasting, respectively, each time-series model being provided as one of a recurrent neural network (RNN), a convolution neural network (CNN), and a generative adversarial network (GAN), determining anomaly scores based on the time-series models, and selectively providing an alert to one or more users, each alert indicating at least one anomaly and a respective probability.

Abstract: Implementations include receiving image data representative of images of items within a physical environment and depicting defects in at least one item, providing one or more of a set of augmented images using image augmentation based on the image data and a set of synthetic images using ML-based image synthesis based on the image data, processing one of the set of augmented images and the set of synthetic images using an ML model to provide a set of defect characteristics representative of defects in the at least one item, providing one or more root causes of each of the one or more defects by processing the set of defect characteristics and ancillary data, the ancillary data representative of the physical environment, and generating one or more alerts based on the one or more root causes for remediation of at least one root cause of the one or more defects.

Abstract: Implementations include receiving image data representative of images of items within a physical environment and depicting defects in at least one item, providing one or more of a set of augmented images using image augmentation based on the image data and a set of synthetic images using ML-based image synthesis based on the image data, processing one of the set of augmented images and the set of synthetic images using an ML model to provide a set of defect characteristics representative of defects in the at least one item, providing one or more root causes of each of the one or more defects by processing the set of defect characteristics and ancillary data, the ancillary data representative of the physical environment, and generating one or more alerts based on the one or more root causes for remediation of at least one root cause of the one or more defects.

Abstract: Implementations include receiving two or more time-series data sequences representative of a target process executed within a physical environment, executing automated time-series process segmentation to provide a plurality of subsequence segments for each of the two or more time-series data sequences, each subsequence segment corresponding to a phase of the target process, processing the two or more subsequence segments using at least one time-series transformation to provide a feature data set for each subsequence segment, applying each feature data set to provide time-series models for anomaly detection and forecasting, respectively, each time-series model being provided as one of a recurrent neural network (RNN), a convolution neural network (CNN), and a generative adversarial network (GAN), determining anomaly scores based on the time-series models, and selectively providing an alert to one or more users, each alert indicating at least one anomaly and a respective probability.

Abstract: A device for detecting exposure to light includes: a photo-responsive layer including a photochromic material; a skin-mimicking cover layer covering a first side of the photo-responsive layer; and an adhesive layer configured to couple a second side of the photo-responsive layer opposite the first side to a surface.

Abstract: A spinal training simulator kit with an operable module unit for surgical training is described. The spinal training simulator kit includes an anatomical base model of at least a portion of a spinal column and at least one high-fidelity module unit, the module unit comprising intervertebral disc analogues and vertebral segment analogues, and the module unit configured to fit within the base model in an anatomically correct orientation and location. The module unit may be acted upon, i.e. surgical instruments may be passed through, thus, providing a realistic simulator for surgical training.

Abstract: A device for detecting exposure to light includes: a photo-responsive layer including a photochromic material; a skin-mimicking cover layer covering a first side of the photo-responsive layer; and an adhesive layer configured to couple a second side of the photo-responsive layer opposite the first side to a surface.

Abstract: A device for detecting exposure to light includes: a photo-responsive layer including a photochromic material; a skin-mimicking cover layer covering a first side of the photo-responsive layer; and an adhesive layer configured to couple a second side of the photo-responsive layer opposite the first side to a surface.

Abstract: A spinal training simulator kit with an operable module unit for surgical training is described. The spinal training simulator kit includes an anatomical base model of at least a portion of a spinal column and at least one high-fidelity module unit, the module unit comprising intervertebral disc analogues and vertebral segment analogues, and the module unit configured to fit within the base model in an anatomically correct orientation and location. The module unit may be acted upon, i.e. surgical instruments may be passed through, thus, providing a realistic simulator for surgical training.