Title :
Recognition of isolated complex mono- and bi-manual 3D hand gestures
Author :
Just, Agnès ; Bernier, Olivier ; Marcel, Sébastien
Author_Institution :
Institut Dalle Molle d´´Intelligence Artificielle Perceptive, Martigny, Switzerland
Abstract :
In this paper, we address the problem of the recognition of isolated complex mono- and bi-manual hand gestures. In the proposed system, hand gestures are represented by the 3D trajectories of blobs. The blobs are obtained by tracking colored body parts in real-time using the EM algorithm. In most of the studies on hand gestures, only small vocabularies have been used. In this paper, we study the results obtained on a more complex database of mono- and bi-manual gestures. These results are obtained by using a state-of-the-art sequence processing algorithm, namely hidden Markov models (HMMs), implemented within the framework of an open source machine learning library.
Keywords :
gesture recognition; hidden Markov models; image colour analysis; learning (artificial intelligence); EM algorithm; bi-manual 3D hand gestures recognition; blob 3D trajectories; colored body part tracking; hidden Markov models; isolated complex mono-manual 3D hand gesture recognition; open source machine learning library; sequence processing algorithm; Application software; Databases; Hidden Markov models; Human computer interaction; Libraries; Machine learning; Machine learning algorithms; Streaming media; Telecommunications; Vocabulary;
Conference_Titel :
Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE International Conference on
Print_ISBN :
0-7695-2122-3
DOI :
10.1109/AFGR.2004.1301594
