Described herein are systems, methods, and other techniques for determining a period during which an implement of a construction machine is interacting with a ground surface. A vibration signal that is indicative of a movement of the implement is captured. One or more features are extracted from the vibration signal. The one or more features are provided to a machine-learning model to generate a model output. An implement-on-ground (IOG) start time and an IOG end time are predicted based on the model output, the IOG start time and the IOG end time forming the period.

A mesh network system includes an electronic control unit. The electronic control unit selects determines a current motion state of a vehicle of a mesh network. The electronic control unit may calculates radio metric scores for network interfaces. The radio metric scores are weighted based on the current motion. The electronic control unit selects a desired network interface for communications between the vehicles based on the radio metric scores.

A method for monitoring operation of a machine includes receiving machine operation data including a first data channel indicative of a sensed condition at a first location on the machine, wherein the machine operation data is collected during one or more work cycles of the machine, and extracting at least a portion of the machine operation data, including data associated with the first data channel. The method also includes classifying the extracted machine operation data to identify one or more types of events that occurred during the one or more work cycles of the machine and involving an environment in which the machine operates during the one or more work cycles of the machine, estimating a condition at a second location on the machine during the one or more work cycles of the machine based on the identified one or more types of events, and logging the identified one or more types of events with a plurality of additional identified types of events to represent a plurality of work cycles during operation of the machine over time.

A method for monitoring operation of a machine includes receiving machine operation data including a first data channel indicative of a sensed condition at a first location on the machine, wherein the machine operation data is collected during one or more work cycles of the machine, and extracting at least a portion of the machine operation data, including data associated with the first data channel. The method also includes classifying the extracted machine operation data to identify one or more types of events that occurred during the one or more work cycles of the machine and involving an environment in which the machine operates during the one or more work cycles of the machine, estimating a condition at a second location on the machine during the one or more work cycles of the machine based on the identified one or more types of events, and logging the identified one or more types of events with a plurality of additional identified types of events to represent a plurality of work cycles during operation of the machine over time.

Disclosed is an electronic device comprising: a gyro sensor; an acceleration sensor for outputting acceleration data about motion of the electronic device; a geomagnetic sensor for outputting geomagnetic data about a magnetic field around the electronic device; and a low-power processor electrically connected to the gyro sensor, the acceleration sensor and the geomagnetic sensor. The low-power processor: operates the acceleration sensor while the gyro sensor is deactivated to determine a motion pattern of the electronic device; drives the geomagnetic sensor to acquire geomagnetic data such that, if the motion of the electronic device corresponds to a predetermined first motion pattern, the geomagnetic data is acquired at a first sample rate, and, if the motion corresponds to a predetermined second motion pattern, the geomagnetic data is acquired at a second sample rate higher than the first sample rate; and calibrates the geomagnetic sensor on the basis of the geomagnetic data.

Disclosed is an electronic device comprising: a gyro sensor; an acceleration sensor for outputting acceleration data about motion of the electronic device; a geomagnetic sensor for outputting geomagnetic data about a magnetic field around the electronic device; and a low-power processor electrically connected to the gyro sensor, the acceleration sensor and the geomagnetic sensor. The low-power processor: operates the acceleration sensor while the gyro sensor is deactivated to determine a motion pattern of the electronic device; drives the geomagnetic sensor to acquire geomagnetic data such that, if the motion of the electronic device corresponds to a predetermined first motion pattern, the geomagnetic data is acquired at a first sample rate, and, if the motion corresponds to a predetermined second motion pattern, the geomagnetic data is acquired at a second sample rate higher than the first sample rate; and calibrates the geomagnetic sensor on the basis of the geomagnetic data.

A method is for operating a sensor. Influences on the sensor are detected and compensated for by an artificial neural network (ANN). The influences on the sensor are described by information from surroundings of the sensor, and an output signal of the sensor is linked in the ANN to further data representing the information from the surroundings of the sensor, such that a compensated output signal is obtained.

A method is for operating a sensor. Influences on the sensor are detected and compensated for by an artificial neural network (ANN). The influences on the sensor are described by information from surroundings of the sensor, and an output signal of the sensor is linked in the ANN to further data representing the information from the surroundings of the sensor, such that a compensated output signal is obtained.

Provided is a fitting apparatus configured to acquire measurement data obtained by measuring a swing action of a test club by a golfer with a measurement device, calculate an amount of change in an attitude of a face surface of a head included in the test club in a period before impact at a time of the swing action, based on the measurement data, and select a balance of a golf club suitable for the golfer, according to the amount of change.

A micromechanical sensor system, in particular, an acceleration sensor, including a substrate having a main extension plane, the sensor system including a first mass and a second mass. The first and second masses are each designed to be at least partially movable in a vertical direction, perpendicular to the main extension plane of the substrate. The first mass includes a stop structure, wherein the stop structure has an overlap with the second mass in the vertical direction.