Identification of gait patterns with self-organizing maps based on ground reaction force

A novel approach to gait pattern classification is presented. Based on data collected from patients at an rehabilitation centre we achieve a clustering according to various gait malfunctions by using self-organizing maps. The major benefit of such an approach is that the learning process ends up with a classification of gait malfunctions without the need of the tremendous effort to define a biomechanical model of gait.