ABSTRACT
Measured values differ from their actual (true) values; they contain errors. Errors can arise during all four stages of the experimental process (calibration, acquisition, data analysis, data combination). The key terms associated with error analysis are defined and then discussed in the following contexts: the sampling of time-series data, data derived from image based motion analysis, determining human body segment inertial parameters, time-series low-pass filtering and the computation of their derivatives, the measurement of segment and joint orientations, data derived from force plates, and the combination of variables and parameters to determine other variables (e.g. resultant joint moments).
