Action and event recognition from video require comparing temporal sequences of images, or of intermediate representations derived from them. Such a comparison should be insensitive to intrinsic temporal variations within the same class – for instance the speed of execution of a particular gesture – and at the same time retain discriminative power to enable classifying different actions. In thi...

Introduction. When dealing with time series, the application of a smoothing filter (to get rid of random fluctuations and better recognise the relevant structure) is usually one of the first steps. In the literature on time series similarity measures, however, the impact of smoothing is not explicitly or systematically considered – despite extensive experiments in, e.g., [2]. Instead, complex s...

Background: Gait deviations may negatively affect the articular surfaces of lower extremity joints and lead to some minor degenerative changes. The simplest method for gait evaluation is assess symmetry its parameters, assuming that each undisturbed should be symmetrical. This study aims quantify degree asymmetry kinematic kinetic parameters caused by presence different ankle orthosis settings ...

New developments on our real-time recognition engine for isolated handwritten characters are presented. This engine is based on approximate Dynamic Time Warping comparisons with prototypes selected by fast, less accurate classification procedures. The error rate it currently obtains on the standard Pendigits task, 0.60%, is significantly lower than both the error rate of other recently publishe...