In some examples, an unmanned aerial vehicle (UAV) may receive location information via the global navigation satellite system (GNSS) receiver and may receive acceleration information via an onboard accelerometer. The UAV may determine a first measurement of acceleration of the UAV in a navigation frame of reference based on information from the accelerometer prior to or during takeoff. In addition, the UAV may determine a second measurement of acceleration of the UAV in a world frame of reference based on the location information received via the GNSS receiver prior to or during takeoff. The UAV may determine a relative heading of the UAV based on the first and second acceleration measurements. The determined relative heading may be used for navigation of the UAV at least one of during or after takeoff of the UAV.

In some examples, an unmanned aerial vehicle (UAV) may receive location information via the global navigation satellite system (GNSS) receiver and may receive acceleration information via an onboard accelerometer. The UAV may determine a first measurement of acceleration of the UAV in a navigation frame of reference based on information from the accelerometer prior to or during takeoff. In addition, the UAV may determine a second measurement of acceleration of the UAV in a world frame of reference based on the location information received via the GNSS receiver prior to or during takeoff. The UAV may determine a relative heading of the UAV based on the first and second acceleration measurements. The determined relative heading may be used for navigation of the UAV at least one of during or after takeoff of the UAV.

A positioning device includes an camera, a detector, and a circuit. The camera is mounted on a moving body, and captures an image of surroundings of the moving body to acquire a captured image. The detector is mounted on the moving body, detects motion of the moving body, and outputs a detection signal indicating a detection result. The circuit processes the detection signal using a correction value for correcting a bias error included in the detection signal without depending on the motion of the moving body. The circuit computes the position of the moving body based on the captured image acquired by the camera and the detection signal processed. If the circuit determines that the moving body is stationary, the circuit updates the correction value of the bias error based on the detection signal output by the detector.

The disclosed system includes a user-mountable electronic device, an output interface, and at least one processor. The electronic device includes a housing and at least one sensor device located within the housing and configured to generate sensor output that indicates orientation or motion of the user-mountable electronic device. The at least one processor is operated to: receive the sensor output; identify, based on the received sensor output, a body part on which the user intends to deploy the user-mountable electronic device; determine a preferred orientation of the user-mountable electronic device relative to the identified body part; and cause the output interface to provide deployment guidance that indicates the preferred orientation of the user-mountable electronic device.

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.

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.

An electric toothbrush includes a gyro sensor inside a main body. The gyro sensor detects an angular velocity of the main body and the main body includes a head portion, a neck portion, and a grip portion in a longitudinal axis direction. An angle formed by a longitudinal axis of the main body in a state that brush bristles of the head portion contact with a brushing site in a dentition with respect to the longitudinal axis of the main body in a state that the brush bristles of the head portion contact with a reference position in the dentition is obtained, based on an output from the gyro sensor. A corresponding point corresponding to the brushing site on an approximate curve that curves corresponding to the dentition is obtained based on the angle, and coordinates of the corresponding point are used as a translational position of the brushing site.

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.

An automated medication dispenser system is disclosed. The system includes a dispenser device comprising a medication dispensing and storage module, a dispensing drive and control mechanism, and a communications interface. A third party communications host is in communication with the dispenser device, and has administration software with executable instructions for control of the dispensing drive and control mechanism to dispense medication from the medication dispensing and storage module. The communications interface is in communication with the third party communications host.

An automated medication dispenser system is disclosed. The system includes a dispenser device comprising a medication dispensing and storage module, a dispensing drive and control mechanism, and a communications interface. A third party communications host is in communication with the dispenser device, and has administration software with executable instructions for control of the dispensing drive and control mechanism to dispense medication from the medication dispensing and storage module. The communications interface is in communication with the third party communications host.