Trainable gesture recognition framework for virtual keyboard

Authors:
Hafiz Adnan Habib;Muid Mufti
Affiliations:
Computer Engineering Department, University of Engineering & Technology, Taxila, Punjab, Pakistan;Computer Engineering Department, University of Engineering & Technology, Taxila, Punjab, Pakistan
Venue:
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Year:
2005

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Abstract

This research presents gesture recognition based virtual keyboard functional framework. Fingertip trajectory based key stroke detection, articulation feature vector based key association are basic building blocks for the framework. This framework is trainable and learns the trajectories of fingertips of different users to make key stroke and associated articulation feature vector for pressing particular key by certain finger.