Abstract
Recently, Kernel-based learning algorithms have been applied to complex pattern recognition problems, presenting good results. In several works, these algorithms are applied to spatiotemporal pattern recognition problems, such as gesture and movement recognition. However, most of these works only extract spatiotemporal features and include them in a vector representation of the data, inst…