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A committee machine implementing the pattern recognition module for fingerspelling applications

Published: 22 March 2010 Publication History

Abstract

In several countries, deaf communities adopt the sign language as their official and natural language. This fact inserts a new field for the software application development that can improve sign language dissemination and social inclusion of deaf people. Alphabetic character-based applications, like games and educational softwares, can be adapted to run as fingerspelling-based applications, in which the inputs are signs (static images or videos) rather than letters (typed letters). In this paper, we present a Pattern Recognition Module, implemented by Committee Machine, for fingerspelling applications. The committee experts are built with supervised and unsupervised Fuzzy Learning Vector Quantization models using the "boosting by filtering" strategy. The module was tested in a specific sign language context considering hand configurations and hand movements.

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cover image ACM Conferences
SAC '10: Proceedings of the 2010 ACM Symposium on Applied Computing
March 2010
2712 pages
ISBN:9781605586397
DOI:10.1145/1774088
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 March 2010

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Author Tags

  1. committee machine
  2. fuzzy learning vector quantization
  3. image analysis
  4. pattern recognition
  5. sign language

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SAC'10: The 2010 ACM Symposium on Applied Computing
March 22 - 26, 2010
Sierre, Switzerland

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SAC '10 Paper Acceptance Rate 364 of 1,353 submissions, 27%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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  • (2023)Interactive and Markerless Visual Recognition of Brazilian Sign Language Alphabet2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)10.1109/I2MTC53148.2023.10176037(01-06)Online publication date: 22-May-2023
  • (2016)Gesture phase segmentation using support vector machinesExpert Systems with Applications: An International Journal10.1016/j.eswa.2016.02.02156:C(100-115)Online publication date: 1-Sep-2016
  • (2012)Mobile Agents in E-CommerceComputer Engineering10.4018/978-1-61350-456-7.ch614(1583-1590)Online publication date: 2012
  • (2012)Human-Computer Interaction and Artificial IntelligenceComputer Engineering10.4018/978-1-61350-456-7.ch101(1-18)Online publication date: 2012
  • (2012)Hybrid architecture for gesture recognition: Integrating fuzzy-connectionist and heuristic classifiers using fuzzy syntactical strategyThe 2012 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN.2012.6252448(1-8)Online publication date: Jun-2012
  • (2011)Human-Computer Interaction and Artificial IntelligenceComputer Engineering10.4018/978-1-61350-456-7.ch1.1(1-18)Online publication date: 31-Dec-2011
  • (2011)Human-Computer Interaction and Artificial IntelligenceBusiness, Technological, and Social Dimensions of Computer Games10.4018/978-1-60960-567-4.ch011(168-184)Online publication date: 2011
  • (2011)Brazilian sign language multimedia hangman gameThe proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility10.1145/2049536.2049623(311-312)Online publication date: 24-Oct-2011
  • (2011)ARTIE and MUSCLE models: building ensemble classifiers from fuzzy ART and SOM networksNeural Computing and Applications10.1007/s00521-011-0747-722:1(49-61)Online publication date: 14-Oct-2011
  • (2010)Gesture recognition for fingerspelling applicationsProceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility10.1145/1878803.1878861(261-262)Online publication date: 25-Oct-2010

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