Recognition of Isolated Complex Mono- and Bi-Manual 3D Hand Gestures using Discrete IOHMM
published: Feb. 25, 2007, recorded: June 2004, views: 190
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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. 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 obtain processing algorithm, namely Input/Output Hidden Markov Model (IOHMM), implemented within the framework of an open source machine learning library.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !