Abstract: A posture estimation method includes calculating a posture change amount of an object based on an output of an angular velocity sensor, predicting posture information of the object by using the posture change amount, limiting a bias error in a manner of limiting a bias error component of an angular velocity around a reference vector in error information, and correcting the predicted posture information of the object based on the error information, the reference vector, and an output of a reference observation sensor.

Abstract: A posture estimation method includes calculating a posture change amount of an object based on an output of an angular velocity sensor, predicting posture information of the object by using the posture change amount, limiting a bias error in a manner of limiting a bias error component of an angular velocity around a reference vector in error information, and correcting the predicted posture information of the object based on the error information, the reference vector, and an output of a reference observation sensor.

Abstract: A posture estimation method includes calculating a posture change amount of an object based on an output of an angular velocity sensor, predicting posture information of the object by using the posture change amount, adjusting error information in a manner of determining whether or not the output of the angular velocity sensor is within an effective range and, when it is determined that the output of the angular velocity sensor is not within the effective range, increasing a posture error component in error information and reducing a correlation component between the posture error component and an error component other than the posture error component in the error information, and correcting the predicted posture information of the object based on the error information.

Abstract: A posture estimation method includes calculating a posture change amount of an object based on an output of an angular velocity sensor, predicting posture information of the object by using the posture change amount, limiting a bias error in a manner of limiting a bias error component of an angular velocity around a reference vector in error information, and correcting the predicted posture information of the object based on the error information, the reference vector, and an output of a reference observation sensor.

Abstract: A posture estimation method includes calculating a posture change amount of an object based on an output of an angular velocity sensor, predicting posture information of the object by using the posture change amount, limiting a bias error in a manner of limiting a bias error component of an angular velocity around a reference vector in error information, and correcting the predicted posture information of the object based on the error information, the reference vector, and an output of a reference observation sensor.

Abstract: An automated guided vehicle system in which an automated guided vehicle autonomously moves inside a building is provided. The automated guided vehicle includes: an internal sensor having an encoder and a gyro sensor and acquiring information about an own position; an external sensor casting light onto a reflection board arranged in the building, receiving reflected light from the reflection board, and acquiring information about an own position; and a control unit correcting the own position based on the internal sensor, based on the information acquired by the external sensor. The own position via the internal sensor has a margin of error such that the automated guided vehicle can travel for a predetermined period, using only the internal sensor. The control unit performs own-position correction via the external sensor, using one of the reflection boards.

Abstract: A posture estimation method includes calculating a posture change amount of an object based on an output of an angular velocity sensor, predicting posture information of the object by using the posture change amount, limiting a bias error in a manner of limiting a bias error component of an angular velocity around a reference vector in error information, and correcting the predicted posture information of the object based on the error information, the reference vector, and an output of a reference observation sensor. A posture estimation device for performing the method includes a posture-change amount calculation unit, a posture information prediction unit, an error information update unit, a bias error limitation unit, and a posture information correction unit.

Abstract: An automated guided vehicle system in which an automated guided vehicle autonomously moves inside a building is provided. The automated guided vehicle includes: an internal sensor having an encoder and a gyro sensor and acquiring information about an own position; an external sensor casting light onto a reflection board arranged in the building, receiving reflected light from the reflection board, and acquiring information about an own position; and a control unit correcting the own position based on the internal sensor, based on the information acquired by the external sensor. The own position via the internal sensor has a margin of error such that the automated guided vehicle can travel for a predetermined period, using only the internal sensor. The control unit performs own-position correction via the external sensor, using one of the reflection boards.

Abstract: A posture estimation method includes calculating a posture change amount of an object based on an output of an angular velocity sensor, predicting posture information of the object by using the posture change amount, adjusting error information in a manner of determining whether or not the output of the angular velocity sensor is within an effective range and, when it is determined that the output of the angular velocity sensor is not within the effective range, increasing a posture error component in error information and reducing a correlation component between the posture error component and an error component other than the posture error component in the error information, and correcting the predicted posture information of the object based on the error information.

Abstract: A posture estimation method includes calculating a posture change amount of an object based on an output of an angular velocity sensor, predicting posture information of the object by using the posture change amount, limiting a bias error in a manner of limiting a bias error component of an angular velocity around a reference vector in error information, and correcting the predicted posture information of the object based on the error information, the reference vector, and an output of a reference observation sensor.

Abstract: A swing analyzing apparatus includes at least an angular velocity sensor, an impact detection section, an angular velocity information calculation section, and an impact state judgment section. The impact detection section detects the timing of impact in a swing of a sporting good. The angular velocity information calculation section calculates at least one of the amount of change in angular velocity with respect to a predetermined axis in a predetermined period after the impact timing and the greatest value of the angular velocity based on data outputted form the angular velocity sensor. The impact state judgment section judges the state of impact based on the result calculated by the angular velocity information calculation section.

Abstract: A swing analyzing apparatus includes at least an angular velocity sensor, an impact detection section, an angular velocity information calculation section, and an impact state judgment section. The impact detection section detects the timing of impact in a swing of a sporting good. The angular velocity information calculation section calculates at least one of the amount of change in angular velocity with respect to a predetermined axis in a predetermined period after the impact timing and the greatest value of the angular velocity based on data outputted form the angular velocity sensor. The impact state judgment section judges the state of impact based on the result calculated by the angular velocity information calculation section.

Abstract: A swing analyzing apparatus includes at least an angular velocity sensor, an impact detection section, an angular velocity information calculation section, and an impact state judgment section. The impact detection section detects the timing of impact in a swing of a sporting good. The angular velocity information calculation section calculates at least one of the amount of change in angular velocity with respect to a predetermined axis in a predetermined period after the impact timing and the greatest value of the angular velocity based on data outputted form the angular velocity sensor. The impact state judgment section judges the state of impact based on the result calculated by the angular velocity information calculation section.

Abstract: A motion analysis system includes an analysis control device that analyzes a motion of a measurement target using measurement data from a plurality of measurement units including an angular velocity sensor, and the analysis control device receives measurement data based on a first rotational motion around a first rotation axis of the measurement target from the plurality of measurement units when an axis intersecting a perpendicular line with respect to a first plane in a space including the measurement target is set as the first rotation axis, and tunes azimuths on the first plane in the plurality of measurement units using the measurement data based on the first rotational motion.

Abstract: A sensor unit is installed to a target object and detects a given physical amount. A data acquisition unit acquires output data of the sensor unit in a period including a first period for which a real value of a value of m time integrals of the physical amount is known and a second period that is a target for motion analysis. An error time function estimating unit performs m time integrals of the output data of the sensor unit and estimates a time function of an error of a value of the physical amount detected by the sensor unit with respect to the real value of the value of the physical amount detected by the sensor unit based on a difference between a value of m time integrals of the output data and the real value for the first period.

Abstract: A sensor information acquisition section acquires angular velocity information (GX, GY, GZ) around three axes acquired by three angular velocity sensors, and acceleration information (AX, AY, AZ) in three axial directions acquired by three acceleration sensors. A posture information calculation section calculates a posture angle and position coordinates in a virtual three-dimensional space based on the angular velocity information (GX, GY, GZ) and the acceleration information (AX, AY, AZ). The posture information calculation section calculates a fixed coordinate system velocity vector based on an inertial coordinate system acceleration vector (A) obtained from the acceleration information (AX, AY, AZ), and calculates position coordinates in a virtual three-dimensional space corresponding to the fixed coordinate system velocity vector.

Abstract: A sensor unit is installed to a target object and detects a given physical amount. A data acquisition unit acquires output data of the sensor unit in a period including a first period for which a real value of a value of m time integrals of the physical amount is known and a second period that is a target for motion analysis. An error time function estimating unit performs m time integrals of the output data of the sensor unit and estimates a time function of an error of a value of the physical amount detected by the sensor unit with respect to the real value of the value of the physical amount detected by the sensor unit based on a difference between a value of m time integrals of the output data and the real value for the first period.

Abstract: A sensor unit is installed to a target object and detects a given physical amount. A data acquisition unit acquires output data of the sensor unit in a period including a first period for which a real value of a value of m time integrals of the physical amount is known and a second period that is a target for motion analysis. An error time function estimating unit performs m time integrals of the output data of the sensor unit and estimates a time function of an error of a value of the physical amount detected by the sensor unit with respect to the real value of the value of the physical amount detected by the sensor unit based on a difference between a value of m time integrals of the output data and the real value for the first period.

Abstract: An input device includes a main body, a motion sensor unit and a coordinate conversion processing unit. The coordinate conversion processing unit configured to perform coordinate conversion processing based on a Y-axis acceleration and a Z-axis acceleration detected by the motion sensor unit with a first two-dimensional orthogonal coordinate system being defined by a mutually orthogonal Y-axis and Z-axis in a first plane perpendicular to an X-axis coinciding with a pointing direction of the main body. The coordinate conversion processing unit is configured to convert the Y-axis angular velocity and the Z-axis angular velocity detected by the motion sensor unit to a U-axis angular velocity and a V-axis angular velocity, respectively, in a second two-dimensional orthogonal coordinate system defined by a U-axis corresponding to a horizontal axis in the first plane and a V-axis perpendicular to the U-axis in the first plane.

Abstract: A sensor unit is installed to a target object and detects a given physical amount. A data acquisition unit acquires output data of the sensor unit in a period including a first period for which a real value of a value of m time integrals of the physical amount is known and a second period that is a target for motion analysis. An error time function estimating unit performs m time integrals of the output data of the sensor unit and estimates a time function of an error of a value of the physical amount detected by the sensor unit with respect to the real value of the value of the physical amount detected by the sensor unit based on a difference between a value of m time integrals of the output data and the real value for the first period.