2011
MAS 2011 Proceeding
Modelling of Gestures with Differing Execution Speeds: Are Hidden non-Markovian Models Applicable for Gesture Recognition?
Authors: Sascha Bosse, Claudia Krull, Graham Horton
Abstract
Gesture recognition is an important subtask of systems implementing human-machine-interaction. Hidden Markov Models achieve good results for gesture recognition in real-time supporting a low error rate. However, the distinction of gestures with different execution speeds is difficult. Hidden non-Markovian Models provide an approach to model time dependent state transitions to eliminate these problems. In this paper, a basic non-Markovian model structure for gesture recognition is developed. The experiments show that Hidden non-Markovian Models are not only applicable in the field of gesture recognition, but that they can also distinguish gestures with different execution speeds.
I3M Scientific Sponsors
I3M Industrial Sponsors
I3M Media Sponsors
