A signal processing method includes a processing target signal generation step of generating a processing target signal which is a time-series signal based on a source signal which is a time-series signal output from an object, and a vibration rectification error calculation step of calculating a plurality of vibration rectification errors by performing product-sum operation processing of a first signal based on the processing target signal and a second signal based on a phase-shifted signal of the processing target signal a plurality of times by changing a shift amount.

A method for offset calibration of a rotation rate sensor signal of a rotation rate sensor. In a first step, an ascertainment is made that the rotation rate sensor is in an idle state. In a second step, after the first step, a filter parameter is determined as a function of the measured rotation rate sensor values, measured in the idle state, of the rotation rate sensor. In a third step, after the second step, a filtered measured rotation rate sensor value is determined with the aid of the filter parameter. An offset is determined with the aid of the filtered measured rotation rate sensor value.

A method for offset calibration of a rotation rate sensor signal of a rotation rate sensor. In a first step, an ascertainment is made that the rotation rate sensor is in an idle state. In a second step, after the first step, a filter parameter is determined as a function of the measured rotation rate sensor values, measured in the idle state, of the rotation rate sensor. In a third step, after the second step, a filtered measured rotation rate sensor value is determined with the aid of the filter parameter. An offset is determined with the aid of the filtered measured rotation rate sensor value.

First sensor data generated by a first of a plurality of sensors and at least second sensor data generated by at least a second of the plurality of sensors can be received by a sensor data broker executed by a processor. The sensor data broker can publish to at least a first virtual sensor the first sensor data as first published sensor data. The sensor data broker can publish to at least a second virtual sensor the second sensor data as second published sensor data.

First sensor data generated by a first of a plurality of sensors and at least second sensor data generated by at least a second of the plurality of sensors can be received by a sensor data broker executed by a processor. The sensor data broker can publish to at least a first virtual sensor the first sensor data as first published sensor data. The sensor data broker can publish to at least a second virtual sensor the second sensor data as second published sensor data.

The presently disclosed subject matter includes a computerized method and system for estimating footfall for a location of one or more users. Visitation data including a plurality of visit data items is obtained. The obtained visitation data is grouped into one or more groups of visit data items. For each group, the data items in the group is assigned to one or more clusters of visits. For each visit data item, the data item is assigned to a given cluster of the clusters. Based on the one or more clusters of visits data, a footfall estimation for a location is determined, wherein the footfall estimation for the location is indicative of a number of visits of the one or more users in the location, within one or more time intervals.

The presently disclosed subject matter includes a computerized method and system for estimating footfall for a location of one or more users. Visitation data including a plurality of visit data items is obtained. The obtained visitation data is grouped into one or more groups of visit data items. For each group, the data items in the group is assigned to one or more clusters of visits. For each visit data item, the data item is assigned to a given cluster of the clusters. Based on the one or more clusters of visits data, a footfall estimation for a location is determined, wherein the footfall estimation for the location is indicative of a number of visits of the one or more users in the location, within one or more time intervals.

Provided are an abnormality determination device and the like that are able to accurately determine abnormalities regarding an inspection subject. The abnormality determination device is configured to calculate a scatter degree of differences between prediction information on an observation target and observation information on the observation target, the prediction information being an information generated in accordance with a scenario that represents an aspect of state change of the observation target, the observation information generated by an inspection target; and determine whether or not the inspection target is abnormal based on the calculated degree.

Provided are an abnormality determination device and the like that are able to accurately determine abnormalities regarding an inspection subject. The abnormality determination device is configured to calculate a scatter degree of differences between prediction information on an observation target and observation information on the observation target, the prediction information being an information generated in accordance with a scenario that represents an aspect of state change of the observation target, the observation information generated by an inspection target; and determine whether or not the inspection target is abnormal based on the calculated degree.

A method for offset calibration of a rotation rate sensor signal of a rotation rate sensor. In a first step, an ascertainment is made that the rotation rate sensor is in an idle state. In a second step, after the first step, a filter parameter is determined as a function of the measured rotation rate sensor values, measured in the idle state, of the rotation rate sensor. In a third step, after the second step, a filtered measured rotation rate sensor value is determined with the aid of the filter parameter. An offset is determined with the aid of the filtered measured rotation rate sensor value.