Hand Motion Gesture Recognition System
Hand motion is an effective means of human communications in real world.
It might be also true in virtual environment but the use of hand motion
is still limited to a simple application. This project is to develop a
generic software package for hand motion recognition using hidden markov
models, with which user interface designers will be able to build a multimodal
input system. Hand motion recongnition package provides functions for converting spacial hand motions into symbolic forms, that makes it easy to combine
with other inputs such as speech recogniton, static hand postures, etc.
Besides sign language recognition, hand motion will be able to be used
for specifying shapes and sizes in CAD/CAM application, enhancing degree
of freedom for hand posture command inputs and menu selections, and recognizing
handwritten spatial charactors.
This project involves the development of C++ software packages that
provides various functions for handling hand motions. Currently it consists
of three modules: Hidden Markov Models module, Plane fitting module and
device interface modules. The device interface module is a enhancement
GloveGRASP software package that was developed earlier.
Related works on gesture recognition