A coordinate input processing apparatus includes a position detection apparatus and a communication circuit. The position detection apparatus includes a sensor which detects a position pointed to by an electronic pen, and circuitry which acquires pen state information regarding a state of the electronic pen held by a person. The communication circuit transmits to an emotion estimation apparatus coordinates corresponding to the position pointed to by the electronic pen and the pen state information in an emotional state estimation request, and receives from the emotion estimation apparatus the coordinates corresponding to the position pointed to by the electronic pen, the pen state information included in the emotional state estimation request, and the information regarding the distracted state of the person holding the electronic pen in an emotional state estimation response having the same format as the emotional state estimation request.

A network device includes a transceiver configured to concurrently transmit signals and receive signals within a single frequency band resulting in radio-frequency signal interference. The device includes an analog canceler configured to mitigate the signal interference. The device includes a neural network that receives data that describes characteristics of the signal interference and provides coefficients for the analog canceler as outputs. The neural network-generated coefficients are applied to the analog canceler which uses them to cancel the signal interference.

Systems for self-organizing data collection and storage in a manufacturing environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the manufacturing system, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of at least one target system. The system may also include a self-organizing system for self-organizing a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs. The self-organizing system may organize a swarm of mobile data collectors to collect data from a plurality of target systems.

A tire or tread detection device for the classification of vehicular traffic. The invention allows the detection of tires by identifying with certainty the number of axles that make up a vehicle, thus determining its traffic category or classification, for the determination of loads, toll collection and evaluation of traffic supply and demand. The invention is a development integrated by hardware and software, electronic control devices, signal analysis and communications. The device is made up of Hall Effect sensors for detecting the magnetic field and magnetic field reinforcement magnets, geometrically arranged and interconnected to a microcomputer that interprets analog signals, to obtain the detection of the tire.

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.

An information processing apparatus capable of controlling a mobile object on the basis of an instruction by an utterance of a user identifies which scene a use scene of a target user is among a plurality of use scenes in a case where the mobile object is used, acquires utterance information of the target user, and selects a different machine learning model according to the identified use scene of the target user. The information processing apparatus estimates an intent of an utterance of the target user by using the selected machine learning model.

Methods and systems for training a model include training a feature extraction model to extract a feature vector from a multivariate time series segment, based on a set of training data corresponding to measurements of a system in a first domain. Adapting the feature extraction model to a second domain, based on prototypes of the training data in the first domain and new time series data corresponding to measurements of the system in a second domain.

A method for finding image regions that significantly influence classification in a tool for pathology classification in a medical image wherein image regions that influence classification are inpainted, by replacing the pixels in these regions by representations of heathy tissue, resulting in an image with a healthy classification-score in the classification tool.

A method, system, and computer-readable media for identifying false positive data within a set of blast exposure data. After debiasing and filtering the blast exposure data, an algorithm identifies predetermined features within the data that may be indicative of false positive data. The predetermined features are used to calculate a false positive score and if the false positive score exceeds a predetermined score threshold, the data is flagged with a false positive flag and may be removed from the set of blast exposure data.

An apparatus for configuring a wearable device for exercise tracking includes a data storage unit for storing sensor data generated by a sensor arrangement in the wearable device based on sensed movement of the wearable device and optical movement data including representations of an individual obtained from an image-based monitoring system; and a processing unit configured to: execute a movement tracker model on the sensor data to determine a first exercise activity and an associated first confidence indicator; execute an optical tracker model on the optical movement data to determine a second exercise activity and an associated second confidence indicator; process the movement tracker model based on the first confidence indicator and the second confidence indicator.