Abstract: The present invention relates to methods for analyzing gait of a subject. In particular, the present invention relates to a method for analyzing gait of a subject, said method comprising: providing data representing the 3D-movement of a foot of said subject over time; identifying within said data first data segments that each represent of at least one stride; determining one or more stride features for each of said first data segments; and defining one or more clusters on the basis of at least one stride feature of said one or more stride features. Each of the defined clusters represents a class of strides, e.g. a class may represent the typical stride of a subject. The present invention also provides for corresponding systems that are configured to perform the methods of the present invention and the use of these systems for analyzing in assessing gait of a subject, preferably a subject suffering from a movement-impairment.

Abstract: A method for calibrating a time difference of arrival-based local positioning system for k?D localization, k=2 or 3, includes collecting N sets of time difference of arrival measurements related to a mobile node, N?2, each nth set of measurements being performed by Bn beacon nodes among B beacon nodes of the positioning system while the mobile node is located is a nth position within a region covered by the positioning system, Bn?k+2, and determining optimal beacon positions that minimize an objective function depending on N residual error vectors, the calculation of each nth position of the mobile node using beacon positions and the nth set of measurements, the calculation allowing the calculation of the nth residual error vector.

Abstract: A method for calculating a position of an object of interest in an environment. The method includes: predicting a position and an orientation of the object of interest in the environment; selecting a subset of base stations among a set of base stations located within the environment, by using the predicted position and orientation, and a radiation pattern of a system including the object of interest and a mobile transponder attached to the object of interest; and calculating an actual position of the object of interest, using time of arrival or time difference of arrival measurements between the base stations of the subset and the mobile transponder.

Abstract: The present invention relates to methods for analyzing gait of a subject. In particular, the present invention relates to a method for analyzing gait of a subject, said method comprising: providing data representing the 3D-movement of a foot of said subject over time; identifying within said data first data segments that each represent of at least one stride; determining one or more stride features for each of said first data segments; and defining one or more clusters on the basis of at least one stride feature of said one or more stride features. Each of the defined clusters represents a class of strides, e.g. a class may represent the typical stride of a subject. The present invention also provides for corresponding systems that are configured to perform the methods of the present invention and the use of these systems for analyzing in assessing gait of a subject, preferably a subject suffering from a movement-impairment.

Abstract: A method for calibrating a time difference of arrival-based local positioning system for k?D localization, k=2 or 3, includes collecting N sets of time difference of arrival measurements related to a mobile node, N?2, each nth set of measurements being performed by Bn beacon nodes among B beacon nodes of the positioning system while the mobile node is located is a nth position within a region covered by the positioning system, Bn?k+2, and determining optimal beacon positions that minimize an objective function depending on N residual error vectors, the calculation of each nth position of the mobile node using beacon positions and the nth set of measurements, the calculation allowing the calculation of the nth residual error vector.

Abstract: A method for calculating a position of an object of interest in an environment. The method includes: predicting a position and an orientation of the object of interest in the environment; selecting a subset of base stations among a set of base stations located within the environment, by using the predicted position and orientation, and a radiation pattern of a system including the object of interest and a mobile transponder attached to the object of interest; and calculating an actual position of the object of interest, using time of arrival or time difference of arrival measurements between the base stations of the subset and the mobile transponder.