A mobility movement information acquiring method has: acquiring an observed velocity value of a mobility according to a first interval; storing the observed velocity value and corresponding time information so as to relate each other; and acquiring an acceleration value in a travelling direction by inputting the observed velocity value into a state-space model in which: displacement per unit time of a state velocity value is the acceleration value in the travelling direction, the observed velocity value is a sum of the state velocity value and a value following a first distribution, and displacement per the unit time of the acceleration value in the travelling direction follows a second distribution.

A mobility movement information acquiring method has: acquiring an observed velocity value of a mobility according to a first interval; storing the observed velocity value and corresponding time information so as to relate each other; and acquiring an acceleration value in a travelling direction by inputting the observed velocity value into a state-space model in which: displacement per unit time of a state velocity value is the acceleration value in the travelling direction, the observed velocity value is a sum of the state velocity value and a value following a first distribution, and displacement per the unit time of the acceleration value in the travelling direction follows a second distribution.

Disclosed herein are systems and methods for calculating angular acceleration based on inertial data using two or more inertial measurement units (IMUs). The calculated angular acceleration may be used to estimate a position of a wearable head device comprising the IMUs. Virtual content may be presented based on the position of the wearable head device. In some embodiments, a first IMU and a second IMU share a coincident measurement axis.

A determination apparatus includes circuitry to receive a detection result of a time-varying physical quantity generated by rotation of a rotator attached to a rotation shaft, and rotation angle information of the rotator; and determine a rotation state of the rotator based on the detection result and the rotation angle information.

Disclosed herein are systems and methods for calculating angular acceleration based on inertial data using two or more inertial measurement units (IMUs). The calculated angular acceleration may be used to estimate a position of a wearable head device comprising the IMUs. Virtual content may be presented based on the position of the wearable head device. In some embodiments, a first IMU and a second IMU share a coincident measurement axis.

A vehicle small in width and capable of ensuring both driving stability and drivability includes: a vehicle body with two or more wheels including steered wheels (right front wheel, left front wheel) for steering; an inclination angle detection part that detects the inclination angle of the vehicle body about a roll axis thereof; and a torque applying part (turning mechanism) that applies a steering torque to the steered wheels in accordance with an inclination angular velocity or an inclination angular acceleration of the vehicle body calculated from the inclination angle.

Disclosed are a ground reaction force index estimation system, a ground reaction force index estimation method, and a ground reaction force index estimation program that can compute ground reaction force indices at low computation costs. The ground reaction force index estimation system comprises footwear and an external device connected to the footwear. The footwear comprises a wearable sensor that measures triaxial acceleration and/or triaxial angular velocity and a computation unit that computes ground reaction force indices by multiple regression analysis from values computed from the measurement results to be used as explanatory variables. The external device comprises a controller that evaluates walking and running motions for the user on the basis of the measurement results by the wearable sensor received from the footwear, the computed ground reaction force indices, and the determination reference information and a presentation unit that presents the results of the evaluation of the running motion.

Determining tread depth using data from a tire mounted sensor (TMS), including: determining, based on data collected by the tire mounted sensor, a tire deformation for a tire; determining, based on the tire deformation, an effective rolling radius of the tire; and determining, based at least on the effective rolling radius of the tire, an estimated tread depth for the tire.

The inertial sensor device is an inertial sensor device including a plurality of inertial measurement modules, and includes: a clocking unit; a storage unit configured to store detection data from each of the plurality of inertial measurement modules in association with a time point of the clocking unit; and a synthesis processing unit configured to calculate interpolation data at a predetermined time point based on the detection data from each of the plurality of inertial measurement modules at at least two time points, and synthesize, using the interpolation data for each of the plurality of inertial measurement modules, output data at the predetermined time point.

The inertial sensor device is an inertial sensor device including a plurality of inertial measurement modules, and includes: a clocking unit; a storage unit configured to store detection data from each of the plurality of inertial measurement modules in association with a time point of the clocking unit; and a synthesis processing unit configured to calculate interpolation data at a predetermined time point based on the detection data from each of the plurality of inertial measurement modules at at least two time points, and synthesize, using the interpolation data for each of the plurality of inertial measurement modules, output data at the predetermined time point.