The disclosure provides a cranial rotation system, including a subject stage configured to support a subject; a cranial support configured to support a cranium of the subject and rotate relative to the subject stage; subject stage a motor configured to rotate the cranial support about a rotational axis; and a controller configured to operate the motor.

Systems and methods of tracking attributes of objects, including a sensor configured to detect data related to one or more attributes of the object, a tracking device attachable to the object to transmit data detected by the sensor, a software application modifiable by a user, the software application being configured to receive transmitted data from the tracking device, firmware within a chip on the tracking device configured to determine a frequency of data transmissions from the tracking device to the software application based on transmission rules related to characteristics of transmitted data, and a display configured to show the frequency of data transmissions from the tracking device to the software application.

Systems and methods of tracking attributes of objects, including a sensor configured to detect data related to one or more attributes of the object, a tracking device attachable to the object to transmit data detected by the sensor, a software application modifiable by a user, the software application being configured to receive transmitted data from the tracking device, firmware within a chip on the tracking device configured to determine a frequency of data transmissions from the tracking device to the software application based on transmission rules related to characteristics of transmitted data, and a display configured to show the frequency of data transmissions from the tracking device to the software application.

An approach is provided for determining a vehicle parking event and respective characteristics using sensor data. The approach, for example, involves receiving sensor data from at least one sensor associated with a mobile device in a vehicle. The approach also involves processing the sensor data to determine a sequence of semantic events. The semantic events respectively indicate a maneuver performed by the vehicle. The approach further involves processing the sensor data to determine a distance estimation over which at least one of the semantic events is performed. The approach further involves detecting a parking event of the vehicle, a characterization of the parking event, or a combination thereof based on the sequence of semantic events and the distance estimation. The approach further involves providing the parking event, the characterization of the parking event, or a combination thereof as an output.

An approach is provided for determining a vehicle parking event and respective characteristics using sensor data. The approach, for example, involves receiving sensor data from at least one sensor associated with a mobile device in a vehicle. The approach also involves processing the sensor data to determine a sequence of semantic events. The semantic events respectively indicate a maneuver performed by the vehicle. The approach further involves processing the sensor data to determine a distance estimation over which at least one of the semantic events is performed. The approach further involves detecting a parking event of the vehicle, a characterization of the parking event, or a combination thereof based on the sequence of semantic events and the distance estimation. The approach further involves providing the parking event, the characterization of the parking event, or a combination thereof as an output.

The present technology is directed to easily and more accurately acquiring output signals relating to a plurality of inertial sensors. Provided is an information processing device including a combining unit that stepwisely combines output signals relating to a plurality of inertial sensors, in which the combining unit clusters a plurality of the output signals into a plurality of clusters and stepwisely combines the output signals in each of the clusters, and at least one of the clusters includes a plurality of the output signals. Furthermore, provided is an information processing method including stepwisely combining, by a processor, output signals relating to a plurality of inertial sensors, in which the combining further includes clustering a plurality of the output signals into a plurality of clusters and stepwisely combining the output signals in each of the clusters, and at least one of the clusters includes a plurality of the output signals.

A method for providing sensor data, including providing a maximum measuring range for the sensor, providing a first measuring range which is within the maximum measuring range, providing the sensor data in a data structure having a size that corresponds to the first measuring range, providing a second measuring range which is different from the first measuring range and is within the maximum measuring range, adapting the provided sensor data of the first measuring range for the second measuring range so that the adapted sensor data are provided in an expanded data structure having a size that corresponds to the maximum measuring range, and the provided sensor data being arranged as a function of the difference of the size between the maximum and the second measuring range and the size of the second measuring range within the expanded data structure, and the sensor-data-free sections being filled with values.

There is provided a building facility vibration measurement device that can easily ascertain whether specs are sufficient for measurement of vibration of a building facility. A building facility vibration measurement device includes: an acceleration detection unit configured to detect acceleration; an acceleration collection unit configured to collect the acceleration detected by the acceleration detection unit; an accuracy calculation unit configured to calculate detection accuracy of the acceleration from information on the acceleration collected by the acceleration collection unit; and a judgement unit configured to, based on the detection accuracy calculated by the accuracy calculation unit, judge whether vibration of a building facility can be measured.

There is provided a building facility vibration measurement device that can easily ascertain whether specs are sufficient for measurement of vibration of a building facility. A building facility vibration measurement device includes: an acceleration detection unit configured to detect acceleration; an acceleration collection unit configured to collect the acceleration detected by the acceleration detection unit; an accuracy calculation unit configured to calculate detection accuracy of the acceleration from information on the acceleration collected by the acceleration collection unit; and a judgement unit configured to, based on the detection accuracy calculated by the accuracy calculation unit, judge whether vibration of a building facility can be measured.

An abnormality detection apparatus for detecting an abnormality of a ball screw provided in an injection molding machine includes: a vibration sensor configured to detect vibration of the ball screw; and a computation unit configured to detect an abnormality of the ball screw based on information related to a distribution of frequency components obtained by frequency analysis of a vibration intensity detected by the vibration sensor, and information related to a distribution of frequency components obtained by frequency analysis of a vibration intensity detected when the ball screw, which is normal, operates.