A system and method for monitoring performance of an industrial process includes an input port for receiving signals representative of one or more performance parameters generated by the industrial process, a user interface including a display and a controller that is operably coupled with the input port and the user interface. The controller is configured to repeatedly receive signals over time via the input port representative of the one or more performance parameters of the industrial process and to generate a plurality of snapshots, wherein each snapshot includes a graphical representation of the one or more performance parameters of the industrial process at a corresponding time. The controller is configured to generate an animatable heat map including two or more of the plurality of snapshots arranged temporally and to display the animatable heat map on the display.

A system and method for monitoring performance of an industrial process includes an input port for receiving signals representative of one or more performance parameters generated by the industrial process, a user interface including a display and a controller that is operably coupled with the input port and the user interface. The controller is configured to repeatedly receive signals over time via the input port representative of the one or more performance parameters of the industrial process and to generate a plurality of snapshots, wherein each snapshot includes a graphical representation of the one or more performance parameters of the industrial process at a corresponding time. The controller is configured to generate an animatable heat map including two or more of the plurality of snapshots arranged temporally and to display the animatable heat map on the display.

An exercise method and an exercise equipment are provided. The exercise method includes: determining an exercise guiding video according to a selected music input/audio signal, wherein the exercise guiding video includes a first exercise guiding video and/or a second exercise guiding video, the first exercise guiding video is a live video automatically generated according to the selected music input/audio signal, the second exercise guiding video is a video previously recorded according to the selected music input/audio signal; generating CGA and special-effect/animated feedbacks corresponding to the music information/audio signal and instruction/cuing in the exercise guiding video; playing the exercise guiding video, the CGA, the special-effect/animated feedbacks and the selected music input/audio signal on a display and computing device; receiving user performance data; displaying interactive feedback data on the display and computing device, according to a result obtained by matching the user performance data with music information/audio signal analyzed from selected music input/audio signal.

An exercise method and an exercise equipment are provided. The exercise method includes: determining an exercise guiding video according to a selected music input/audio signal, wherein the exercise guiding video includes a first exercise guiding video and/or a second exercise guiding video, the first exercise guiding video is a live video automatically generated according to the selected music input/audio signal, the second exercise guiding video is a video previously recorded according to the selected music input/audio signal; generating CGA and special-effect/animated feedbacks corresponding to the music information/audio signal and instruction/cuing in the exercise guiding video; playing the exercise guiding video, the CGA, the special-effect/animated feedbacks and the selected music input/audio signal on a display and computing device; receiving user performance data; displaying interactive feedback data on the display and computing device, according to a result obtained by matching the user performance data with music information/audio signal analyzed from selected music input/audio signal.

The present disclosure describes techniques for facial expression recognition. A first loss function may be determined based on a first set of feature vectors associated with a first set of images depicting facial expressions and a first set of labels indicative of the facial expressions. A second loss function may be determined based on a second set of feature vectors associated with a second set of images depicting asymmetric facial expressions and a second set of labels indicative of the asymmetric facial expressions. The first loss function and the second loss function may be used to determine a maximum loss function. The maximum loss function may be applied during training of a model. The trained model may be configured to predict at least one asymmetric facial expression in a subsequently received image.

The present disclosure describes techniques for facial expression recognition. A first loss function may be determined based on a first set of feature vectors associated with a first set of images depicting facial expressions and a first set of labels indicative of the facial expressions. A second loss function may be determined based on a second set of feature vectors associated with a second set of images depicting asymmetric facial expressions and a second set of labels indicative of the asymmetric facial expressions. The first loss function and the second loss function may be used to determine a maximum loss function. The maximum loss function may be applied during training of a model. The trained model may be configured to predict at least one asymmetric facial expression in a subsequently received image.

Provided are an method for generating an animation and apparatus, an electronic device, and a computer-readable storage medium. The method for generating an animation comprises: determining a background image and a first foreground image of an original image (S110); respectively rotating, scaling and translating the first foreground image and a first 2D sticker image to obtain a second foreground image and a second 2D sticker image, wherein the first 2D sticker image is generated in advance on the basis of a predetermined coverage manner and according to the original image (S120); mixing the second foreground image with the background image to obtain a first mixed image (S130); and mixing the first mixed image with the second 2D sticker image to generate an animation of the original image (S140).

Provided are an method for generating an animation and apparatus, an electronic device, and a computer-readable storage medium. The method for generating an animation comprises: determining a background image and a first foreground image of an original image (S110); respectively rotating, scaling and translating the first foreground image and a first 2D sticker image to obtain a second foreground image and a second 2D sticker image, wherein the first 2D sticker image is generated in advance on the basis of a predetermined coverage manner and according to the original image (S120); mixing the second foreground image with the background image to obtain a first mixed image (S130); and mixing the first mixed image with the second 2D sticker image to generate an animation of the original image (S140).

A system may include a processor and a memory. The memory may include computer-executable code that, when executed by the processor, causes the processor to retrieve a workflow dataset from a database based on a query input associated with an industrial automation device. The workflow dataset may include an instruction associated with one or more operations for the industrial automation device and a virtual object associated with the one or more instructions and the industrial automation device. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a first portion of the workflow dataset to a computing device corresponding to a first instruction. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a second portion of the workflow dataset to the computing device in response to determining that the first instruction is completed.

A system may include a processor and a memory. The memory may include computer-executable code that, when executed by the processor, causes the processor to retrieve a workflow dataset from a database based on a query input associated with an industrial automation device. The workflow dataset may include an instruction associated with one or more operations for the industrial automation device and a virtual object associated with the one or more instructions and the industrial automation device. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a first portion of the workflow dataset to a computing device corresponding to a first instruction. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a second portion of the workflow dataset to the computing device in response to determining that the first instruction is completed.