Gesture Recognition System for Isolated Word Sign Language Based on Key-Point Trajectory Matrix

Authors

  • Sana Fakhfakh El Manar University, Signal and System Research Unit, ENIT
  • Yousra Ben Jemaa El Manar University, Signal and System Research Unit, ENIT

DOI:

https://doi.org/10.13053/cys-22-4-3046

Keywords:

Sign language recognition, isolated word, signer-independence, particular filter, key-point trajectory matrix

Abstract

This paper suggests a new system to help the deaf and the hearing-impaired community improve their connection with the hearing world and  communicate freely. The most important thing in this system is how to help the users be free and finally have a more natural way of  communication. For this reason, we present a new process based on two levels: a static-level aiming to extract the most head/hands key points and a dynamic-level with the objective of  accumulating the key-point trajectory matrix. Also our proposed approach takes into account the signer-independence constraint.  A SIGNUM database is applied in the classification stage and our system performances have improved with a 94.3\% recognition rate. Furthermore, a reduction in time processing is obtained when the removing of redundant frame step is applied. The obtained results prove the superiority of our system compared to the state-of- the-art methods in terms of recognition rate and execution time.

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Published

2018-12-30

Issue

Vol. 22 No. 4 (2018): Topic Trends in Computing Research (Guest Editors: A. Aguilar-Meléndez, E. Moya-Sánchez)

Section

Articles of the Thematic Section

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