This paper presents a new method to recognize people by their gait, which forms part of a major project to detect and recognize automatically different human behaviours. The project is comprised of several stages, but this paper is focused on the last one, i.e. recognition. This stage is based on the Self-Organizing Map, assuming that the previous stage of feature extraction has already been solved. Although this previous stage is solved with manual extraction of human model points, the obtained results demonstrate the viability of the neural approach to the recognition of these kind of temporal sequences.