Systems and methods for data collection and processing are described, including a plurality of variable groups of industrial sensor inputs operationally coupled to an industrial environment and a multiplexer communicatively coupled to the industrial sensor inputs; and a controller configured to receive and monitor the data and adaptively schedule the data collector.

A method for controlling a motion tracking system, including the steps of: digitally processing sound waves detected by a plurality of microphones so as to detect a voice of a user and estimate a first direction of the user; digitally processing electromagnetic waves captured by antennas so as to detect data packets transmitted to a computing apparatus by sensors and estimate second directions of each sensor; digitally averaging the second directions so as to provide an average direction for the sensors; digitally computing a difference between the first direction and the average direction; and starting to digitally track motion of the user based on measurements of each sensor when the computed difference does not exceed a predetermined difference threshold.

A sensor device is provided to detect a filling status of a consumable in a dispenser, the consumable being web material, and the filling status relating to a spatial extension of the consumable in the dispenser. The sensor device includes a capacitive sensor having an elongated and planar sensor area; and a first measurement section configured to measure the filling status of the dispenser. The capacitive sensor includes a first channel and a second channel. The first measurement section is configured to measure the filling status of the dispenser based on changes in capacitance detected by the first channel and the second channel.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning clustering models to determine conditions a satellite communication system. In some implementations, feature vectors for a time period are obtained. Each feature vector includes feature values that represent properties of a satellite communication system at a respective time during the time period. Each feature vector is provided as input to a machine learning model that assigns the feature vector to a based on the properties of the satellite communication system represented by the feature vector. Each cluster corresponds to a respective potential operating condition of the satellite communication system. Data is generated that indicates a likelihood that each potential operating condition is the actual operating condition based on a quantity of the feature vectors that have been assigned to the cluster corresponding to the potential operating condition during the time period.

An attention mechanism-based 12-lead electrocardiogram (ECG) classification method is described, the method including acquiring an original image of a 12-lead ECG, segmenting waveform data recorded in the original image to obtain segmented waveform data for each lead in the 12-lead ECG, performing depth feature extraction on the segmented waveform data of said each lead to obtain a first feature map of said each lead, performing feature transformation on the first feature map of said each lead based on an attention mechanism to obtain a depth feature of said each lead, and classifying the depth feature of said each lead to obtain a classification result for the original image. The classification method can make full use of the 12-lead ECG for overall classification and improve the accuracy of image classification.

Techniques are described for calculating athletic performance during an athletic activity. In one embodiment, a processor of a sensing device comprising one or more sensors measures an activity parameter of a user. The processor analyzes the activity parameter to determine whether the activity parameter meets a predetermined criteria. When the activity parameter meets the predetermined criteria, the processor arms the one or more sensors. The arming comprises activating the one or more sensors to collect exercise data for a known exercise activity performed by the user. In another embodiment, the processor of the sensing device comprising one or more sensors arms the one or more sensors to collect data when the activity parameter of the user meets a predetermined criteria. After arming the one or more sensors, the processor collects exercise data for a known exercise activity performed by the user.

The present invention relates to a device and method for determining vital sign information of a subject (2). The proposed device comprises an input unit (11) for receiving image data of the subject, said image data including a sequence of images over time, an ROI selection unit (12) for selecting an initial region of interest, ROI, within an image, a feature selection unit (13) for selecting one or more spatial features of a body part within the initial ROI, a motion signal extraction unit (14) for extracting from said image data within the initial ROI the direction and/or amplitude of motion of a subject's body part related to a desired vital sign of the subject, a detection unit (15) for detecting one or more spatial features of said selected spatial features, whose motion is not related to the desired vital sign of the subject, a tracking unit (16) for tracking the initial ROI based on changes of the position of said one or more detected spatial features within the initial ROI, to obtain a final ROI, and a vital signs extraction unit (17) for extracting the desired vital sign from the final ROI.

A system for analysis of user gait and to provide correction in form of haptic and visual feedback. This system comprises a motion and force sensors and a haptic actuator embedded in the user shoe insoles in communication with a smart-phone based analysis application, configured to calculate motion and orientation of the user feet in relation to the value, location and distribution of ground reaction forces measured by sensors located in the shoe insoles and after analysis of said forces and motion, to provide haptic feedback to the user foot instructing about the location (and timing) of pressure the user must apply to achieve an optimal gait.

A position detection apparatus includes a sensor that detects a position pointed to by an electronic pen and circuitry that acquires pen state information regarding the electronic pen held by a person; a transmitter that transmits to an emotion estimation apparatus an emotional state estimation request including the acquired pen state information, the emotion estimation apparatus including a database that stores information regarding an emotional state of the person holding the electronic pen and range information regarding a range of values that may be taken by the pen state information regarding the electronic pen, the emotional state and the range information being associated with one another; and a processor that receives information corresponding to the emotional state transmitted from the emotion estimation apparatus in response to the pen state information included in the transmitted emotional state estimation request, and performs processing using the received information corresponding to the emotional state.

A method for controlling operations of an electronic device through ambient light detection and associated apparatus are provided, where the method includes: utilizing an ambient light sensor of the electronic device to detect ambient light for the electronic device, to generate an ambient light detection signal, sampling the ambient light detection signal to convert the ambient light detection signal into a converted signal, and performing pattern detection on the converted signal to detect at least one pattern of the converted signal; and according to a pattern and event database, determining whether the detected pattern of the converted signal matches a predetermined pattern within a plurality of predetermined patterns, to selectively trigger a predetermined operation associated with the predetermined pattern, wherein the pattern and event database stores the plurality of predetermined patterns.