Full Body Gesture Recognition for Human-Machine Interaction in Intelligent Spaces

This paper describes a proposal for a full body gesture recognition system to be used in an intelligent space to allow users to control their environment. We describe a successful adaptation of the traditional strategy applied in the design of spoken language recognition systems, to the new domain of full body gesture recognition. The experimental evaluation has been done on a realistic task where different elements in the environment can be controlled by the users using gesture sequences. The evaluation results have been obtained applying a rigorous experimental procedure, evaluating different feature extraction strategies. The average recognition rates achieved are around 97 % for the gestural sentence level, and over 98 % at the gesture level, thus experimentally validating the proposal.