In an embodiment of the disclosed principles, a strap down integration (SDI) system includes a gyroscope that provides gyroscope data samples and an accelerometer that provides accelerometer data samples. A timing capture module associates a timestamp in a common time-base to data samples, and an SDI module linked to the timing capture module processes the timestamped data samples to produce orientation and velocity increments. In an embodiment, the SDI system also includes a priority buffer for storing the data stream produced by the timing capture module prior to provision of the data stream to the SDI module. The SDI module may output SDI motion increments at a time specified in an output request via an output request sample placed in the incoming data stream and having a timestamp in the common time-base.

In an embodiment of the disclosed principles, a strap down integration (SDI) system includes a gyroscope that provides gyroscope data samples and an accelerometer that provides accelerometer data samples. A timing capture module associates a timestamp in a common time-base to data samples, and an SDI module linked to the timing capture module processes the timestamped data samples to produce orientation and velocity increments. In an embodiment, the SDI system also includes a priority buffer for storing the data stream produced by the timing capture module prior to provision of the data stream to the SDI module. The SDI module may output SDI motion increments at a time specified in an output request via an output request sample placed in the incoming data stream and having a timestamp in the common time-base.

A speed of a rail vehicle equipped with a first chassis unit is determined. A chassis speed measurement variable is provided by a sensor unit. Inertial measurement variables are detected by an inertial measurement unit; a reference speed characteristic value is formed; an inertial speed characteristic value is determined by a calculation unit based on the inertial measurement variables, in a first operating mode, to estimate a deviation in the inertial calculation based on the reference speed characteristic value; the inertial speed characteristic value is determined, in a second operating mode, without taking into account the reference speed characteristic value. If an anomalous provision process of the chassis speed measurement variable is detected by a recognition unit on the basis of a reference characteristic value and the chassis speed measurement value, the inertial calculation is performed according to the second operating mode.

A speed of a rail vehicle equipped with a first chassis unit is determined. A chassis speed measurement variable is provided by a sensor unit. Inertial measurement variables are detected by an inertial measurement unit; a reference speed characteristic value is formed; an inertial speed characteristic value is determined by a calculation unit based on the inertial measurement variables, in a first operating mode, to estimate a deviation in the inertial calculation based on the reference speed characteristic value; the inertial speed characteristic value is determined, in a second operating mode, without taking into account the reference speed characteristic value. If an anomalous provision process of the chassis speed measurement variable is detected by a recognition unit on the basis of a reference characteristic value and the chassis speed measurement value, the inertial calculation is performed according to the second operating mode.

A motion analysis method includes calculating a change in an amount of inertia of a region attached with an inertial sensor during a swing using an output of the inertial sensor, and identifying a maximum value of the amount of inertia during the swing to compare the maximum value and the amount of inertia at an impact with each other. A deceleration timing during the swing of the region (the grip of the sporting equipment) attached with the inertial sensor is identified, and the quality of the swing can be evaluated.

A motion analysis method includes calculating a change in an amount of inertia of a region attached with an inertial sensor during a swing using an output of the inertial sensor, and identifying a maximum value of the amount of inertia during the swing to compare the maximum value and the amount of inertia at an impact with each other. A deceleration timing during the swing of the region (the grip of the sporting equipment) attached with the inertial sensor is identified, and the quality of the swing can be evaluated.

A travelling direction calculation apparatus includes an acceleration sensor, a period identification unit, an action determination unit, a vector calculator, and a travelling direction decision unit. The period identification unit identifies a stable measurement period and an idling leg period based on change in a vertical component of acceleration detected by the acceleration sensor. The action determination unit discriminates between walking and running by using the minimum value of the vertical component of the acceleration in the idling leg period. The vector calculator calculates a velocity vector from a horizontal component of the acceleration in the stable measurement period. The travelling direction decision unit decides a direction of traveling of a user based on a result of determination performed by the action determination unit and the velocity vector calculated by the vector calculator.

Methods, systems, and devices for automatically evaluating a martial arts move are described. The method may include identifying a distance between a target and a sensor coupled with a user and receiving motion data from the sensor. The motion data may include linear acceleration data and rotation data. The method may further include calculating, based on the distance and the linear acceleration data, an end point in three-dimensional space of the martial arts move and determining whether the user made contact with the target based on a comparison between the end point and a three-dimensional representant of the target. The method may further include determining a rotational characteristic of the move and comparing the rotational characteristic with a stored model of the move. The method may further include evaluating the move based on whether the user made contact with the target and the comparison of the rotational characteristic.

The present disclosure relates to a method for measuring a speed of a sports device. The method includes: acquiring movement data of the sports device during a process of tracking the sports device, the movement data being collected by a sensor disposed at a bottom of the sports device; calculating a linear speed and a rotational speed of the sports device based on accelerations of three axes in the movement data; and combining the linear speed and the rotational speed to obtain a movement speed of the sports device. In addition, the present disclosure also provides an apparatus for measuring a speed of a sports device, which corresponds to the above method. The method and the apparatus for measuring a speed of a sports device can improve the credibility of the speed measurement of the sports device.

The present disclosure relates to an information processing apparatus, an information processing method, and a program capable of implementing highly accurate motion capture.

The posture, speed, and position of the sensor unit are calculated by integrating the angular velocity and the acceleration detected by the sensor unit. Since at least one of the calculated posture, speed, or position of the sensor unit is obtained by integration, the accuracy decreases with the lapse of time, and thus an inference parameter for inferring at least one of the posture, speed, or position of the sensor unit is learned using only a value having a small error with an elapsed time shorter than a predetermined time. The present invention can be applied to a motion capture apparatus.