A method and system for identifying parts manufactured by a workstation by measuring signals generated by machines in the workstation, extracting features from the signals, clustering the features into clusters, associating clusters with manufactured parts and recognizing the parts through the clusters.

A method for generating reference biometric data based on a bending of a flexible device is described. In one aspect, a method includes forming training data includes bending estimates of a flexible device worn by a first user, training a model based on the training data, and generating reference biometric data for the first user based on the model.

Provided are methods, including computer-implemented methods, devices, and computer-program products applying systems and methods for pallet identification. According to some embodiments of the invention, a pallet may be visually identified through photographs without attaching physical labels. Thus, the status of pallets may be monitored (e.g., their location and structural integrity) as they move through the supply chain.

Disclosed herein an artificial intelligence apparatus for recognizing speech in consideration of an utterance style including a microphone, and a processor configured to obtain, via the microphone, speech data including speech of a user, extract an utterance feature vector from the obtained speech data, determine an utterance style corresponding to the speech based on the extracted utterance feature vector, and generate a speech recognition result using a speech recognition model corresponding to the determined utterance style.

A remote monitoring method based on information fusion and virtual reality for marine engine room is disclosed, which comprises five steps: information acquisition; data analysis; feature extraction; data transmission; 3D scenes establishment. This method can monitor not only the conventional working parameters of main equipment in marine engine room, but also static pictures, infrared thermograms, vibration & noise signals, which can monitor accidents in engine room and enhance operators' awareness of autonomous ships; 3D interactive scenes of marine engine room are built and displayed through visual interfaces, which can make up for the lack of operators' attendance in future unmanned ships.

A motion data processing method and a motion monitoring system provided in the present disclosure may process an electromyography (EMG) signal in the frequency domain or time domain to identify an abnormal signal in the EMG signal, such as an abrupt signal, a missing signal, a saturation signal, an oscillation signal, etc. caused by a high-pass filtering algorithm. The motion data processing method and the motion monitoring system may further perform a data sampling operation on the EMG signal through a data sampling algorithm, and predict data corresponding to the time point when the abnormal signal appears based on the sampling data, so as to obtain prediction data, and replace the abnormal signal by using the prediction data to correct the abnormal signal. The motion data processing method and the motion monitoring system may not merely accurately identify the abnormal signal, but further correct the abnormal signal, so that the corrected data may be more in line with an actual motion of a user, thereby improving user experience.

A workflow deployment system comprising at least one computing device having a memory unit and a first communication unit, and a plurality of software agents, wherein each software agent is installable on an electronic apparatus of the plurality of electronic apparatuses, wherein each software agent exchanges data with the electronic apparatus, wherein the memory unit stores workflow data related to a workflow for performing a task, the workflow comprising at least a first workflow package for a first part of the task, wherein the computing device assigns the first workflow package to the first apparatus, and to provide workflow data related to the first workflow package to the software agent of the first apparatus, to receive a problem solution request from the software agent, to perform, upon reception of the request, a workflow modification process; and to provide the customized data to the software agent of the first apparatus.

Provided is a communication method for communication performed between a pen and a sensor controller that, in operation, transmits uplink signals to the pen in a frame cycle. The communication method includes transmitting, by the sensor controller, a first uplink signal in a first frame, the first uplink signal including an identifier that identifies a type of data to be transmitted to the pen in a second frame following the first frame, and transmitting, by the sensor controller, a second uplink signal in the second frame, the second uplink signal including a value of the data of the type indicated by the identifier.

A surgical image capture and display system includes a handheld image capture and pointing device and a display assembly. An image is captured by an image sensor of the handheld device and displayed on the display assembly. The image sensor detects light emitted by one or more beacons of the display assembly. The system determines, based on the light emitted by the one or more beacons, a position or orientation of the handheld device relative to the display assembly. The system updates display of a graphical user interface comprising the image on the display assembly in accordance with the determined position or orientation of the handheld device.

In the disclosure, a first feature amount extraction unit configured to extract, from time-series data of a plurality of types, a first feature amount representing a feature between dimensions of each data of the time-series data at each time, a second feature amount extraction unit configured to extract, from the first feature amount extracted by the first feature amount extraction unit, a second feature amount representing a feature between the types at each time, a third feature amount extraction unit configured to extract, from the second feature amount extracted by the second feature amount extraction unit, a third feature amount representing a feature between each time, and an analysis unit configured to perform predetermined data analysis through a use of the third feature amount extracted by the third feature amount extraction unit.