Hand motion recognition for the vision-based taiwanese sign language interpretation

Chia Shiuan Cheng, Pi Fuei Hsieh, Chung-Hsien Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we present a system to recognize the hand motion of Taiwanese Sign Language (TSL) using the Hidden Markov Models (HMMs) through a vision-based interface, Our hand motion recognition system consists of four phases: construction of color model, hand tracking, trajectory representation, and recognition. Our hand tracking can accurately track the hand positions. Since our system is recognized to hand motions that are variant with rotation, translation, symmetric, and scaling in Cartesian coordinate system, we have chosen invariant features which convert our coordinate system from Cartesian coordinate system to Polar coordinate system, There are nine hand motion patterns defined for TSL. Experimental results show that our proposed method successfully chooses invariant features to recognition with accuracy about 90%.

Original languageEnglish
Title of host publicationAffective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings
Pages160-167
Number of pages8
Volume3784 LNCS
Publication statusPublished - 2005
Event1st International Conference on ffective Computing and Intelligent Interaction, ACII 2005 - Beijing, China
Duration: 2005 Oct 222005 Oct 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3784 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on ffective Computing and Intelligent Interaction, ACII 2005
CountryChina
CityBeijing
Period05-10-2205-10-24

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Hand motion recognition for the vision-based taiwanese sign language interpretation'. Together they form a unique fingerprint.

  • Cite this

    Cheng, C. S., Hsieh, P. F., & Wu, C-H. (2005). Hand motion recognition for the vision-based taiwanese sign language interpretation. In Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings (Vol. 3784 LNCS, pp. 160-167). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3784 LNCS).