Abstract: An information analysis device including an exercise analysis information acquisition unit that acquires a plurality of pieces of exercise analysis information that are results of analyzing exercise of a plurality of users, and an analysis information generation unit that generates analysis information from which exercise capabilities of the plurality of users can be compared, using the plurality of pieces of exercise analysis information.

Abstract: An on-running landing position evaluation method includes determining a deceleration period in an on-ground duration of a user who is running based on an acceleration value and calculating a travel distance in the determined deceleration period.

Abstract: Based on a local coordinate velocity vector calculated by a local coordinate velocity vector calculation unit and an attitude angle calculated by an attitude angle calculation unit, a change portion of a detected value in the past that is similar to a change in a detected value of attitude and velocity during movement of the user is extracted as a correlation calculation unit provided in each of a reference velocity vector calculation unit and a reference attitude angle calculation unit carries out predetermined correlation calculation. Then, a reference value of the detected value used when correcting the detected value is calculated and generated by the reference velocity vector calculation unit and the reference attitude angle calculation unit, using the result of the extraction.

Abstract: A parameter calculating method includes: setting lengths of prediction target terms as divisions of a predetermined effective period of a satellite orbit as variable lengths; and calculating a parameter of a predetermined orbit model expression used for approximating the satellite orbit based on prediction position data containing prediction positions of a positioning satellite in time series for each of the prediction target terms.

Abstract: A method of estimating a stride length includes: detecting acceleration of a user's vertical movement; and estimating a stride length using the detected acceleration by changing the degree of correlation between the acceleration and the stride length, in which the stride length is increased as the detected acceleration increases, based on user's speed.

Abstract: A position calculation method and apparatus are described. The position calculation apparatus may include an inertial measurement unit and be configured to be coupled with at least one sensor unit for detecting a physical event for use in position calculation. The presence of and type sensor unit may identified, and the position processing to be undertaken may depend on this identification.

Abstract: A positioning apparatus includes: a unit that calculates an inertial navigation positioning result by performing position calculation using inertial sensor data and stores the inertial navigation positioning result in a storage unit with time information being added to the inertial navigation positioning result; a unit that calculates a GPS positioning result by using GPS positioning data; a unit that performs a coupling process for the GPS positioning result and the inertial navigation positioning result, which is stored in the storage unit, having the same time information as time when the GPS positioning data is acquired; a unit that corrects the inertial navigation positioning result stored in the storage unit based on information of a position error, an attitude error, a velocity error, and a bias error of the inertial sensor that are acquired through the coupling process.

Abstract: A position calculation method includes storing navigation data at a given reference date as reference navigation data corresponding to the reference date, transmitting the reference date to request a server that provides navigation data to transmit latest differential navigation data that indicates a difference between the navigation data at the reference date and latest navigation data, receiving the latest differential navigation data from the server, and calculating a position by performing given positioning calculations based on the latest differential navigation data received from the server and the reference navigation data.

Abstract: A position calculating method includes: determining a positioning satellite used for position calculation on the basis of at least reliability of satellite orbits in a prediction target period corresponding to a position calculation point, the reliability of satellite orbits being set in long-term predicted orbit data in which satellite orbits of positioning satellites and reliability of the satellite orbits are associated for each prediction target period; and calculating a position on the basis of a positioning signal received from the determined positioning satellite.

Abstract: A bias estimating method includes: calculating a virtual posture angle which is a posture angle with a bias which is assumed to be zero by the use of detection values of a plurality of axes in a calibration posture where one axis of a multi-axis acceleration sensor is parallel to the vertical direction; and estimating a bias value contained in the detection value of the axis using the detection value of the axis and the virtual posture angle.

Abstract: A positioning device comprising: a peak frequency determination section which determines a peak frequency which is a reception frequency corresponding to a maximum correlation value of a specific positioning base code replica and a positioning base code carried on a radio wave from a specific transmission source; a reference frequency calculation section which calculates a low frequency which is a frequency lower than the peak frequency and a high frequency which is a frequency higher than the peak frequency; a reference correlation value calculation section which calculates the correlation value corresponding to the low frequency and the correlation value corresponding to the high frequency; a corrected peak frequency calculation section which calculates a corrected peak frequency based on the correlation value corresponding to the peak frequency, the peak frequency, the correlation value corresponding to the low frequency, the low frequency, the correlation value corresponding to the high frequency, and the

Abstract: A method of estimating a stride length includes: detecting acceleration of a user's vertical movement; and estimating a stride length using the detected acceleration by changing the degree of correlation between the acceleration and the stride length, in which the stride length is increased as the detected acceleration increases, based on user's speed.

Abstract: A position calculation method and apparatus are described. The position calculation apparatus may include an inertial measurement unit and be configured to be coupled with at least one sensor unit for detecting a physical event for use in position calculation. The presence of and type sensor unit may identified, and the position processing to be undertaken may depend on this identification.

Abstract: A position calculating method includes: determining whether satellite orbit data of a positioning satellite having a first effective term and long-term prediction orbit data having a second effective term longer than the first effective term and predicting a satellite orbit of the positioning satellite are retained or not; and calculating a position by using the satellite orbit data when it is determined that the satellite orbit data and the long-term prediction orbit data are retained.

Abstract: A position calculating method includes: determining a positioning satellite used for position calculation on the basis of at least reliability of satellite orbits in a prediction target period corresponding to a position calculation point, the reliability of satellite orbits being set in long-term predicted orbit data in which satellite orbits of positioning satellites and reliability of the satellite orbits are associated for each prediction target period; and calculating a position on the basis of a positioning signal received from the determined positioning satellite.

Abstract: A parameter calculating method includes: setting lengths of prediction target terms as divisions of a predetermined effective period of a satellite orbit as variable lengths; and calculating a parameter of a predetermined orbit model expression used for approximating the satellite orbit based on prediction position data containing prediction positions of a positioning satellite in time series for each of the prediction target terms.

Abstract: A positioning device comprising: a peak frequency determination section which determines a peak frequency which is a reception frequency corresponding to a maximum correlation value of a specific positioning base code replica and a positioning base code carried on a radio wave from a specific transmission source; a reference frequency calculation section which calculates a low frequency which is a frequency lower than the peak frequency and a high frequency which is a frequency higher than the peak frequency; a reference correlation value calculation section which calculates the correlation value corresponding to the low frequency and the correlation value corresponding to the high frequency; a corrected peak frequency calculation section which calculates a corrected peak frequency based on the correlation value corresponding to the peak frequency, the peak frequency, the correlation value corresponding to the low frequency, the low frequency, the correlation value corresponding to the high frequency, and the

Abstract: A position calculation method includes storing navigation data at a given reference date as reference navigation data corresponding to the reference date, transmitting the reference date to request a server that provides navigation data to transmit latest differential navigation data that indicates a difference between the navigation data at the reference date and latest navigation data, receiving the latest differential navigation data from the server, and calculating a position by performing given positioning calculations based on the latest differential navigation data received from the server and the reference navigation data.

Abstract: A positioning device comprising: a peak frequency determination section which determines a peak frequency which is a reception frequency corresponding to a maximum correlation value of a specific positioning base code replica and a positioning base code carried on a radio wave from a specific transmission source; a reference frequency calculation section which calculates a low frequency which is a frequency lower than the peak frequency and a high frequency which is a frequency higher than the peak frequency; a reference correlation value calculation section which calculates the correlation value corresponding to the low frequency and the correlation value corresponding to the high frequency; a corrected peak frequency calculation section which calculates a corrected peak frequency based on the correlation value corresponding to the peak frequency, the peak frequency, the correlation value corresponding to the low frequency, the low frequency, the correlation value corresponding to the high frequency, and the

Abstract: A positioning device comprising: a peak frequency determination section which determines a peak frequency which is a reception frequency corresponding to a maximum correlation value of a specific positioning base code replica and a positioning base code carried on a radio wave from a specific transmission source; a reference frequency calculation section which calculates a low frequency which is a frequency lower than the peak frequency and a high frequency which is a frequency higher than the peak frequency; a reference correlation value calculation section which calculates the correlation value corresponding to the low frequency and the correlation value corresponding to the high frequency; a corrected peak frequency calculation section which calculates a corrected peak frequency based on the correlation value corresponding to the peak frequency, the peak frequency, the correlation value corresponding to the low frequency, the low frequency, the correlation value corresponding to the high frequency, and the