An analysis device collects data by performing a predetermined analysis on each specimen and processes the data. The analysis device includes an analysis processing unit (23) configured to execute multivariate analysis processing based on collected data for analysis of a difference between a plurality of measurement targets or classification of the plurality of measurement targets, a feature extraction unit (24) configured to extract a characteristic parameter or element estimated to be mainly related to a difference or classification from a multivariate analysis result according to a predetermined criterion, an image creation unit (25) configured to create an image of a predetermined two-dimensional range corresponding to the parameter or element extracted by the feature extraction unit, and a display processing unit (26) configured to assign a same visual aspect to the characteristic parameter or element extracted on the multivariate analysis result and the image created correspondingly and display the multivariate analysis result and the image on a display unit (4).

A system may include a stimulator, sensing circuitry and a controller. The stimulator may be operably connected to at least one stimulation electrode, and configured to deliver an electrical waveform for an electrical therapy using the at least one stimulation electrode. The sensing circuitry may be operably connected to at least one sensing electrode, and configured to sense electrical potentials that are evoked by the electrical waveform to provide sensed evoked signals. The controller may be operably connected to the stimulator and the sensing circuitry. The controller may be configured to automatically define a sampling window, sample the sensed evoked potentials during the sampling window to provide sampled values, detect at least one feature from the sampled values, and automatically provide feedback for closed-loop control of the electrical therapy based on the at least one feature.

A system, method and apparatus for detecting facial expressions according to EMG signals.

The evaluation information generating system of the present invention evaluates a ground area owned by a user, using satellite data observed by an artificial satellite, and includes a user information acquisition unit that acquires user information that is personal information of the user, a ground area information acquisition unit that acquires ground area information including a position of the ground area, a satellite data acquisition unit that acquires the satellite data, a situation detection unit that detects a situation of the ground area based on the satellite data, and an evaluation data generating unit that generates evaluation data of the user or the ground area based on the user information, ground area information, and situation of the ground area.

A system and method are provided that use context awareness with device-dependent training to improve precision while reducing classification latency and the need for additional computing, such as by relying on cloud-based processing. Moreover, the following can leverage signal analysis with multiple sensors and secondary validation in a multi-modal approach to track passive events that would otherwise be difficult to identify using classical methods. In at least one implementation, the system and method described herein can leverage low power sensors and integrate already available human behavior in modular algorithms isolating specific context to reduce user interact time and training to a minimum.

A smart mat includes a stepping potential generation unit, a computing processor and a transmission processor for sensing the stepping direction of a stepper to control the operation of a device. The stepping potential generation unit includes an upper mat, an isolating airgap layer, a lower mat and at least one high-resistance strips. When the stepper stands on the smart mat to press the stepping potential generation unit, a part of the stepping potential generation unit is pressed by an open-circuit state to form a closed circuit and generate a potential. The computing processor uses the distributed position of each potential and the time sequence of distributing each potential to compute and analyse a potential stepping process distribution area to obtain a stepping direction, so as to control the operation of the device through the transmission processor.

A computer system is provided for monitoring and detecting changes in a data generating processes, which may be under a multi-dimensional and unsupervised setting. A target dataset is split into paired subgroups by a separator and one or more detectors are applied to detect changes, anomalies, inconsistencies, and the like between the paired subgroups. Metrics may be generated by the detector(s), which are then passed to an evaluating system.

A system for generating a three-dimensional map of earth's surface and identification of objects is disclosed. The system is configured to receive data, from one or more collectors, comprising three-dimensional data generated from radio frequency signals reflected from earth's surface. The system is further configured to generate an initial version of a baseline three-dimensional map of earth's surface, wherein generating the three-dimensional map includes determining, based on the surface data, a presence of surface features in the earth's surface. Anomalies may be detected based on a comparison of subsequently received data and the baseline, with the system determining that a first anomaly matches an object having an object type. Based on this determination, the system may create a data structure indicating an object type and a geographic location of the matched object, wherein the geographic location data is usable to track the matched object during an analysis period.

A region of space may be monitored for the presence or absence of one or more control objects, and object attributes and changes thereto may be interpreted as control information provided as input to a machine or application. In some embodiments, the region is monitored using a combination of scanning and image-based sensing.

A region of space may be monitored for the presence or absence of one or more control objects, and object attributes and changes thereto may be interpreted as control information provided as input to a machine or application. In some embodiments, the region is monitored using a combination of scanning and image-based sensing.