Abstract: A method and apparatus for fast magnetometer calibration with little space coverage is described herein. The present method and apparatus is capable of performing both 2-dimensional (2D) and 3-dimensional (3D) calibration for a magnetometer (magnetic sensor) and calculating calibration parameters. The present method and apparatus does not need the user to be involved in the calibration process and there are no required specific movements that the user should perform. The present method and apparatus performs magnetometer calibration in 2D or 3D depending on the natural device movements whatever the application that the magnetometer is used in.

Abstract: The present disclosure relates to a method and system for estimating varying step length for on foot motion (such as for example walking or running). The present method and apparatus is able to be used in anyone or both of two different phases depending on the embodiment. The first phase is a model-building phase done offline to obtain the nonlinear model for the step length as a function of different parameters that represent human motion dynamics, the model is built using a nonlinear system identification technique. In the second phase the nonlinear model is used to calculate the step length from the different parameters that represent human motion dynamics used as input to the model. These parameters are obtained from sensors readings from the sensors in the apparatus. This second phase is the more frequent usage of the present method and apparatus for a variety of applications.

Abstract: The present disclosure relates to a method and system for estimating varying step length for on foot motion (such as for example walking or running). The present method and apparatus is able to be used in anyone or both of two different phases. In some embodiments, the first phase is used. In some other embodiments, the second phase is used. In a third group of embodiments, the first phase is used, and then the second phase is used. The first phase is a model-building phase done offline to obtain the nonlinear model for the step length as a function of different parameters that represent human motion dynamics. A nonlinear system identification technique is used for building this model. In the second phase the nonlinear model is used to calculate the step length from the different parameters that represent human motion dynamics used as input to the model. These parameters are obtained from sensors readings from the sensors in the apparatus.

Abstract: A method and apparatus for fast magnetometer calibration with little space coverage is described herein. The present method and apparatus is capable of performing both 2-dimensional (2D) and 3-dimensional (3D) calibration for a magnetometer (magnetic sensor) and calculating calibration parameters. The present method and apparatus does not need the user to be involved in the calibration process and there are no required specific movements that the user should perform. The present method and apparatus performs magnetometer calibration in 2D or 3D depending on the natural device movements whatever the application that the magnetometer is used in.