Abstract: A failure prediction method of predicting a failure of a component of a robot including a robot arm having the component and a detection section that detects information on vibration characteristics when the robot arm moves, includes generating a failure prediction model for prediction of the failure of the component by machine learning based on the information on vibration characteristics, and predicting the failure of the component based on an estimated value of failure prediction output by the generated failure prediction model when the information on vibration characteristics is input to the generated failure prediction model.

Abstract: A failure prediction method of predicting a failure of a component of a robot including a robot arm having the component and a detection section that detects information on vibration characteristics when the robot arm moves, includes generating a failure prediction model for prediction of the failure of the component by machine learning based on the information on vibration characteristics, and predicting the failure of the component based on an estimated value of failure prediction output by the generated failure prediction model when the information on vibration characteristics is input to the generated failure prediction model.

Abstract: An information processing method includes causing an information acquisition section to perform a process of acquiring user information including body motion information of a user, causing a processing section to perform a process of determining a swimming style of the user on the basis of the user information, and obtaining evaluation index information which is at least one of calorie consumption information, pulse wave information, and stroke information when the user swims in each swimming style, and causing an output section to output information in which the evaluation index information in each swimming style is correlated with each swimming style.

Abstract: Disclosed are an error estimation method capable of reducing a processing load, and estimating errors of indexes indicating a state of a moving object with high accuracy by using a signal from a positioning satellite.

Abstract: Disclosed are an error estimation method capable of reducing a processing load, and estimating errors of indexes indicating a state of a moving object with high accuracy by using a signal from a positioning satellite.

Abstract: An information processing method includes causing an information acquisition section to perform a process of acquiring user information including body motion information of a user, causing a processing section to perform a process of determining a swimming style of the user on the basis of the user information, and obtaining evaluation index information which is at least one of calorie consumption information, pulse wave information, and stroke information when the user swims in each swimming style, and causing an output section to output information in which the evaluation index information in each swimming style is correlated with each swimming style.

Abstract: A sleep state determination apparatus includes: a measurement unit which measures biological information; and a determination unit which calculates a first index in accordance with an activity of a first autonomic nerve and a second index in accordance with an activity of a second autonomic nerve, based on the biological information which is measured by the measurement unit, derives first variation information which indicates a variation of the first index and a second variation information which indicates a variation of the second index, and determines whether a sleep state indicated by the biological information is REM sleep or non-REM sleep, based on the first variation information and the second variation information.

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 position calculation device which includes a sensor unit having an acceleration sensor and a gyro sensor is rotated around a vertical direction as an axial center in a state where a plane defined by a first axis and a second axis of the acceleration sensor is substantially perpendicular to the vertical direction. The bias of each of the first axis and the second axis of the acceleration sensor is calculated using a detection value of the sensor unit obtained during rotation.

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 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 signal acquisition method includes: performing a correlation operation for a received satellite signal, the satellite signal being transmitted from a positioning satellite; frequency-analyzing a result of the correlation operation over a predetermined time which is equal to or longer than a bit length of navigation message data carried by the satellite signal; extracting a power value in each frequency in which the power value satisfies a predetermined power condition, from a result of the frequency analysis; and acquiring the satellite signal using the extracted power value.

Abstract: A signal acquisition method includes: performing a correlation operation for a satellite signal received from a positioning satellite; frequency-analyzing a result of the correlation operation over a predetermined time which is equal to or longer than a bit length of navigation message data carried by the satellite signal; extracting a power value in a predetermined frequency which includes at least a specific frequency determined according to the bit length, from a result of the frequency analysis; and acquiring the satellite signal using the extracted power value.