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Human-Computer Interaction System with Artificial Neural Network Using Motion Tracker and Data Glove.

Authors :
Pal, Sankar K.
Bandyopadhyay, Sanghamitra
Biswas, Sambhunath
Oz, Cemil
Leu, Ming C.
Source :
Pattern Recognition & Machine Intelligence; 2005, p280-286, 7p
Publication Year :
2005

Abstract

A Human-Computer Interaction (HCI) system has been developed with an Artificial Neural Network (ANN) using a motion tracker and a data glove. The HCI system is able to recognize American Sign Language letter and number gestures. The finger joint angle data obtained from the strain gauges in the sensory glove define the hand shape while the data from the motion tracker describe the hand position and orientation. The data flow from the sensory glove is controlled by a software trigger using the data from the motion tracker during signing. Then, the glove data is processed by a recognition neural network. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540305064
Database :
Complementary Index
Journal :
Pattern Recognition & Machine Intelligence
Publication Type :
Book
Accession number :
32965655
Full Text :
https://doi.org/10.1007/11590316_40