Abstract: A determination unit determines a first direction appearing in the distribution of a detected acceleration by an acceleration sensor which configured to be worn on a body of a user. A calculation unit calculates exercise amounts during a moving exercise of the user using a variation cycle of the value of the detected acceleration along the first direction.

Abstract: A positioning method includes: executing a first positioning mode or a second positioning mode, a first positioning process that is performed using a least-square method based on a positioning signal and a second positioning process that is performed using a Kalman filter based on the positioning signal utilizing a positioning result obtained by the first positioning process as a base value being performed in the first positioning mode, and the second positioning process being further performed in the second positioning mode utilizing a positioning result obtained by the second positioning process as a base value; determining accuracy of a positioning result obtained by the second positioning process performed in the executed positioning mode; and changing the positioning mode to be executed to the first positioning mode or the second positioning mode corresponding to the accuracy.

Abstract: A position calculating method includes: executing position calculation processing using a plurality of Kalman filter processing, which is processing corresponding to each of a plurality of power spectral density groups classified by performing in advance frequency analysis on the movement acceleration of a movable body as an object of position calculation and which includes an error parameter set to a different value according to the power spectral density group and a parameter indicating that the movable body is in a uniform motion state, on the basis of a satellite signal from a positioning satellite; and determining the position of the movable body using a position calculated by each Kalman filter processing.

Abstract: A positioning method in a positioning device that calculates a location of the positioning device by executing Kalman filtering includes, acquiring a satellite signal from a positioning satellite; predicting a state vector including a velocity component of the positioning device, and error covariance of the state vector; correcting the velocity component using a difference between a measured value and a predicted value of the reception signal frequency from the positioning satellite; determining accuracy of the corrected velocity component based on the error covariance; setting a velocity condition based on the determined accuracy; judging a moving state of the positioning device by comparing the corrected velocity component and the velocity condition; and calculating the location by executing the Kalman filtering with a filter characteristic changed according to the judged moving state.

Abstract: A positioning method includes: executing a first positioning mode or a second positioning mode, a first positioning process that is performed using a least-square method based on a positioning signal and a second positioning process that is performed using a Kalman filter based on the positioning signal utilizing a positioning result obtained by the first positioning process as a base value being performed in the first positioning mode, and the second positioning process being further performed in the second positioning mode utilizing a positioning result obtained by the second positioning process as a base value; determining accuracy of a positioning result obtained by the second positioning process performed in the executed positioning mode; and changing the positioning mode to be executed to the first positioning mode or the second positioning mode corresponding to the accuracy.

Abstract: A positioning method includes: executing a first positioning mode or a second positioning mode, a first positioning process that is performed using a least-square method based on a positioning signal and a second positioning process that is performed using a Kalman filter based on the positioning signal utilizing a positioning result obtained by the first positioning process as a base value being performed in the first positioning mode, and the second positioning process being further performed in the second positioning mode utilizing a positioning result obtained by the second positioning process as a base value; determining accuracy of a positioning result obtained by the second positioning process performed in the executed positioning mode; and changing the positioning mode to be executed to the first positioning mode or the second positioning mode corresponding to the accuracy.

Abstract: A position calculating method includes: executing position calculation processing using a plurality of Kalman filter processing, which is processing corresponding to each of a plurality of power spectral density groups classified by performing in advance frequency analysis on the movement acceleration of a movable body as an object of position calculation and which includes an error parameter set to a different value according to the power spectral density group and a parameter indicating that the movable body is in a uniform motion state, on the basis of a satellite signal from a positioning satellite; and determining the position of the movable body using a position calculated by each Kalman filter processing.

Abstract: A positioning device includes an estimated height storage section which stores an estimated height H1, a signal reception section which receives a satellite signal which is a signal from a satellite positioning system (SPS) satellite, a two-dimensional height calculation section which calculates a two-dimensional height H2c by two-dimensional positioning using the estimated height H1, a three-dimensional height calculation section which calculates a three-dimensional height H2b by preliminary three-dimensional positioning during two-dimensional positioning, a height selection section which selects the two-dimensional height H2b or the three-dimensional height H2c in order to update the estimated height H1, and an updating section which updates the estimated height H1 with the two-dimensional height H2b or the three-dimensional height H2c selected by the height selection section.

Abstract: A positioning device includes an estimated height storage section which stores an estimated height H1, a signal reception section which receives a satellite signal which is a signal from a satellite positioning system (SPS) satellite, a two-dimensional height calculation section which calculates a two-dimensional height H2c by two-dimensional positioning using the estimated height H1, a three-dimensional height calculation section which calculates a three-dimensional height H2b by preliminary three-dimensional positioning during two-dimensional positioning, a height selection section which selects the two-dimensional height H2b or the three-dimensional height H2c in order to update the estimated height H1, and an updating section which updates the estimated height H1 with the two-dimensional height H2b or the three-dimensional height H2c selected by the height selection section.

Abstract: A positioning method in a positioning device that calculates a location of the positioning device by executing Kalman filtering includes, acquiring a satellite signal from a positioning satellite; predicting a state vector including a velocity component of the positioning device, and error covariance of the state vector; correcting the velocity component using a difference between a measured value and a predicted value of the reception signal frequency from the positioning satellite; determining accuracy of the corrected velocity component based on the error covariance; setting a velocity condition based on the determined accuracy; judging a moving state of the positioning device by comparing the corrected velocity component and the velocity condition; and calculating the location by executing the Kalman filtering with a filter characteristic changed according to the judged moving state.

Abstract: A positioning method includes: executing a first positioning mode or a second positioning mode, a first positioning process that is performed using a least-square method based on a positioning signal and a second positioning process that is performed using a Kalman filter based on the positioning signal utilizing a positioning result obtained by the first positioning process as a base value being performed in the first positioning mode, and the second positioning process being further performed in the second positioning mode utilizing a positioning result obtained by the second positioning process as a base value; determining accuracy of a positioning result obtained by the second positioning process performed in the executed positioning mode; and changing the positioning mode to be executed to the first positioning mode or the second positioning mode corresponding to the accuracy.

Abstract: A positioning device includes an estimated height storage section which stores an estimated height H1, a signal reception section which receives a satellite signal which is a signal from a satellite positioning system (SPS) satellite, a two-dimensional height calculation section which calculates a two-dimensional height H2c by two-dimensional positioning using the estimated height H1, a three-dimensional height calculation section which calculates a three-dimensional height H2b by preliminary three-dimensional positioning during two-dimensional positioning, a height selection section which selects the two-dimensional height H2b or the three-dimensional height H2c in order to update the estimated height H1, and an updating section which updates the estimated height H1 with the two-dimensional height H2b or the three-dimensional height H2c selected by the height selection section.