A learning apparatus (10) according to the present invention includes: a normalization/standardization unit (13) that performs normalization or standardization on data detected by a plurality of types of sensors; and a learning unit (14) that builds a model by performing machine learning, using, as training data, the detected data on which normalization or standardization has been performed by the normalization/standardization unit (13). The normalization/standardization unit (13) performs normalization or standardization for each type of sensor, on the data detected by the sensor.

An encoder includes a magnetic sensor having higher detection sensitivity to a magnetic field applied in a reading direction, while having lower detection sensitivity to a magnetic field applied in a direction forming a greater angle with respect to the reading direction, an encoder substrate having the magnetic sensor mounted thereon, a magnetic shield to shield against a magnetic field including a side portion covering sides of the magnetic sensor and a top-side portion covering a top of the magnetic sensor, a permanent magnet located to face the encoder substrate, a shaft having the permanent magnet attached to a tip end of the shaft, and a bracket to support the shaft in a rotatable manner, wherein on the side portion of the magnetic shield, a notch as a connector insertion portion is located not to overlap an extended area of the magnetic sensor in the reading direction.

An encoder includes a magnetic sensor having higher detection sensitivity to a magnetic field applied in a reading direction, while having lower detection sensitivity to a magnetic field applied in a direction forming a greater angle with respect to the reading direction, an encoder substrate having the magnetic sensor mounted thereon, a magnetic shield to shield against a magnetic field including a side portion covering sides of the magnetic sensor and a top-side portion covering a top of the magnetic sensor, a permanent magnet located to face the encoder substrate, a shaft having the permanent magnet attached to a tip end of the shaft, and a bracket to support the shaft in a rotatable manner, wherein on the side portion of the magnetic shield, a notch as a connector insertion portion is located not to overlap an extended area of the magnetic sensor in the reading direction.

This disclosure is directed to methods, computer program products, and systems for calibrating one or more remote sensing devices in an environment. The disclosed technology relates to a calibration device configured to determine measurement data within an environment. The calibration device may transmit the measurement values, or other calibration data items, to a remote sensing device via a wireless link while the remote sensing device stays with a structure in which the remote sensing device is commissioned to operate. In response to receiving the calibration data items, the remote sensing device may adjust one or more settings of the remote sensing device in order to satisfy a calibration threshold.

A system includes a ring magnet having magnetic segments and configured to rotate about an axis of rotation, wherein adjacent segments have different magnetic polarities, The system can further include a substrate positioned so that a top surface of the substrate is substantially parallel to the axis of rotation and a center plane passing through the ring magnet and perpendicular to the axis of rotation of the ring magnet intersects the top surface at an intersection line. The system can further include four magnetic field sensing elements supported by the substrate and electrically coupled to form a first bridge circuit, wherein two of the four magnetic field sensing elements are positioned on one side of the intersection line and the other two of the four magnetic field sensing elements are positioned on the other side of the intersection line.

A method and a device for compensating for sensor drift are disclosed. A method for compensating for sensor drift, according to one embodiment, comprises the steps of: confirming the suitability of sensor data; defining a transformation model for transforming the sensor data; setting a loss function on the basis of the transformation model; and optimizing the transformation model on the basis of the loss function.

A method and a device for compensating for sensor drift are disclosed. A method for compensating for sensor drift, according to one embodiment, comprises the steps of: confirming the suitability of sensor data; defining a transformation model for transforming the sensor data; setting a loss function on the basis of the transformation model; and optimizing the transformation model on the basis of the loss function.

Apparatus and associated methods relate to sensing pressure and mitigating the error introduced by the thermoelectric effect. A pressure sensing device includes a pressure sensor, a temperature sensor, and an error correction device. The pressure sensor produces a voltage output proportional to a sensed pressure. The temperature sensor measures a first temperature at a first location and a second temperature at a second location to produce a temperature difference signal. The error correction device modifies the pressure output proportionally to the temperature difference signal to produce a temperature adjusted pressure output which compensates for error introduced from the temperature difference.

Blood pressure measurement through the use of a sensor array system capable of tracking displacement, motion, environmental impact, and other electrical signals, and recalibration based on said tracking. The sensor array system may comprise a plurality of sensors, and each sensor may be capable of measuring one or more parameters. The system may further comprise an electronic board communicatively coupled to the sensor array. The electronic board may be capable of transmitting a plurality of parameter measurements from the sensor array to a computing device capable of detecting changes to the sensor array based on the plurality of parameter measurements. The changes to the sensor array may be detected by measuring an increased parameter reading from at least a first sensor and a decreased parameter reading from at least a second sensor compared to a baseline measurement.

Blood pressure measurement through the use of a sensor array system capable of tracking displacement, motion, environmental impact, and other electrical signals, and recalibration based on said tracking. The sensor array system may comprise a plurality of sensors, and each sensor may be capable of measuring one or more parameters. The system may further comprise an electronic board communicatively coupled to the sensor array. The electronic board may be capable of transmitting a plurality of parameter measurements from the sensor array to a computing device capable of detecting changes to the sensor array based on the plurality of parameter measurements. The changes to the sensor array may be detected by measuring an increased parameter reading from at least a first sensor and a decreased parameter reading from at least a second sensor compared to a baseline measurement.