A system includes a computing platform including a hardware processor and a system memory storing a software code. The hardware processor is configured to execute the software code to track interactions with a user application during use of the user application, generate, based on tracking the interactions, interaction data identifying multiple interaction events during the use, and perform a validity assessment of the interaction data. The hardware processor is further configured to execute the software code to identify, based on the validity assessment, one or more anomalies in the interaction data, and output, based on identifying the one or more anomalies in the interaction data, one or more of the interaction events corresponding respectively to the one or more anomalies.

An autonomous thinking pattern generator including a pattern converter configured to convert input information to patterns, the input information including image information, sound information or language, a pattern recorder configured to record the patterns, a pattern controller configured to set and change the patterns, and form connective relations between the patterns, and an information analyzer configured to evaluate values of the input information is provided. The pattern recorder is configured to record the patterns corresponding to the input information which is determined as worthy by the information analyzer autonomously.

Provided is a method for tracking a position of a capsule endoscope including: receiving, by an apparatus for tracking a position of a capsule endoscope, an image captured by the capsule endoscope; distinguishing, by the apparatus for tracking a position of a capsule endoscope, a gastrointestinal tract junction from the image using a machine-learned classification model based on the gastrointestinal tract junctions; and tracking, by the apparatus for tracking a position of a capsule endoscope, the position of the capsule endoscope based on the distinguished gastrointestinal tract junctions.

The present invention relates to a mass spectrometric method for determining (predicting) the presence or absence of a chemical element in an analyte which provides valuable information towards reduction of complexity for annotating a chemical formula to the analyte. The method is based on representing a measured isotopic pattern of an analyte as a feature vector and assigning the feature vector to the presence/absence class using a machine learning algorithm, like a support vector machine (SVM) or an artificial neural network (NN).

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and method for rendering three-dimensional captions (3D) in real-world environments depicted in image content. An editing interface is displayed on a client device. The editing interface includes an input component displayed with a view of a camera feed. A first input comprising one or more text characters is received. In response to receiving the first input, a two-dimensional (2D) representation of the one or more text characters is displayed. In response to detecting a second input, a preview interface is displayed. Within the preview interface, a 3D caption based on the one or more text characters is rendered at a position in a 3D space captured within the camera feed. A message is generated that includes the 3D caption rendered at the position in the 3D space captured within the camera feed.

To display/output a complex body motion by accurately synchronizing said body motion with motion image so as to allow a detailed interpretation through comparison thereof. This system is provided with: a plurality of body motion sensors 40 that are attached to arbitrarily defined sites of a wearer 1 so as to be capable of measuring three dimensional displacements and accelerations of the respective sites; an external camera 20 for photographing and recording a body motion of the wearer 1; a display unit that displays, as body motion data, detection results obtained by the body motion sensors 40 in synchronization with a video recorded by the external camera 20 in such a manner as to enable comparison therebetween; and a synchronization processing unit 170f that executes synchronization processing in which a time axis displaying the body motion data is coincided with a time axis displaying the video, wherein the synchronization processing unit 170f performs the synchronization processing by extracting a specific characteristic action performed by the wearer from within video or sound and also extracting a characteristic reaction in the body motion data and then matching the timing of the extracted characteristic action with the timing of the characteristic reaction.

Systems and methods are provided that are directed to generating video sequences including physio-realistic avatars. In examples, an albedo for an avatar is received, a sub-surface skin color associated with the albedo is modified based on physiological data associated with physiologic characteristic, and an avatar based on the albedo and the modified sub-surface skin color is rendered. The rendered avatar may then be synthesized in a frame of video. In some examples, a video including the synthesized avatar may be used to train a machine learning model to detect a physiological characteristic. The machine learning model may receive a plurality of video segments, where one or more of the video segments includes a synthetic physio-realistic avatar generated with the physiological characteristic. The machine learning model may be trained using the plurality of video segments. The trained model may be provided to a requesting entity.

A tester for testing a device under test is shown, having a test unit configured for performing a test of the device under test using multiple test cases, each test case having variable values of a set of predetermined variables, the test units configured to derive an output value for each test case indicating whether the device under test validly operates at a current test case or whether the device under test provides an error at the current test case; and an evaluation unit configured for evaluating the multiple test cases based on a plurality of subsets of the predetermined input variables with respect to the output value, the evaluation unit configured for providing a number of plots of the evaluation of the multiple test cases where each plot indicates the impact of one subset of the plurality of subsets of the predetermined input variables to the output value in dependence on respective relevance scores or associated with the respective relevance scores.

Systems and methods for data collection and detection of noise patterns. A system may include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the plurality of input channels is operatively coupled to a vibration detection facility structured to detect a noise pattern of an industrial machine, a library to store the detected noise pattern, an interface circuit structured to make the noise pattern available to a noise pattern marketplace, the noise pattern marketplace including a plurality of noise patterns from a plurality of industrial machines, and a user interface for accessing the plurality of noise patterns of the noise pattern marketplace.

A system and method are provided for collection and testing of a biologic sample. The system and method comprise collecting by a user of a testing device a biologic sample for use with the testing device, assigning correlative values as test results, and receiving the test results at a server disposed on a network. Some aspects further include presenting advertisements and other messages to users through a mobile application operating on a mobile device. These aspects take into account the results of the self-diagnostic test and present different advertisements to the user based on the results of the test.